Full Stack Engineer - Java

Senior Data Engineer

Cloud Infrastructure Engineer III

Cloud Solution Specialist- Hybrid

Cloud Data Architect

Data Scientist

Data Engineer / Senior Data Engineer

Data Engineer / Senior / Supervisor

ASC - Downstream Data Scientist

Software Developer

Responsibilities: Full Stack Development:&nbsp; <ul><li>Design, develop, and maintain scalable Java-based applications using Spring Boot and other Java frameworks.</li></ul> Backend Development:&nbsp; <ul><li>Implement and optimize server-side logic, ensuring high performance and responsiveness to requests from the front-end.</li></ul> Frontend Development:&nbsp; <ul><li>Work with front-end technologies to create dynamic and responsive user interfaces.</li></ul> Database Management:&nbsp; <ul><li>Develop and manage complex queries and stored procedures using Oracle Database, ensuring data integrity and security.</li></ul> System Integration:&nbsp; <ul><li>Collaborate with cross-functional teams to integrate different modules and systems seamlessly.</li></ul> Code Review &amp; Optimization: <ul><li>Conduct regular code reviews and optimize existing code to improve application performance and maintainability.</li></ul> Troubleshooting &amp; Debugging: <ul><li>Identify, troubleshoot, and resolve complex software issues in a timely manner.</li></ul> Documentation: <ul><li>Create and maintain detailed technical documentation to support the development process.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or related field.</li><li>5-8 years of relevant experience.</li></ul> Mandatory skills <ul><li>Full Stack Development: Proficient in both front-end and back-end technologies, with a focus on Java Full Stack development and enterprise security best practices</li><li>Java/J2EE: Strong expertise in Java programming and J2EE architecture.</li><li>Spring Boot: Extensive experience in using Spring Boot for developing microservices and RESTful APIs.</li><li>Oracle Database: Solid experience with Oracle databases, including writing and optimizing SQL queries.</li><li>Front end technology skills – ReactJS or AngularJS experience&nbsp;</li><li>Desired/ Secondary skills</li><li>Experience in Unix / Linux / Mac environment</li><li>Exposure to cloud environments / AWS &amp; DevOps tools and techniques</li><li>Strong problem-solving skills and the ability to work independently and in a team environment.</li><li>Excellent communication skills and the ability to work effectively with cross-functional teams.</li></ul>

Responsibilities: <ul><li>Develop and maintain data pipelines for efficient extraction, transformation, and loading (ETL) processes.</li><li>Design and optimize data storage solutions, including Amazon Redshift data warehouses and Amazon S3 data lakes</li><li>Ensure data quality and integrity through validation, cleansing, and error handling processes.</li><li>Collaborate with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets for business intelligence.</li><li>Implement data security measures and access controls to protect sensitive information.</li><li>Automate and improve data processes and workflows for scalability and efficiency.</li><li>Monitor data infrastructure performance and address any issues promptly.</li><li>Stay updated on industry trends and emerging technologies in data engineering.</li><li>Document data pipelines, processes, and best practices to facilitate knowledge sharing.</li><li>Continuously optimize data architecture to support the companys evolving data needs.</li><li>Work cross-functionally to drive data-driven decision-making within the organization.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Information Technology.</li><li>Minimum 6 years of experience in data engineering - CS</li><li>Knowledge of AWS services, particularly Glue, Redshift and S3.</li><li>Data Storage and Management - Amazon S3, Amazon RDS and DynamoDB</li><li>Data Processing and ETL - AWS Glue</li><li>Data Warehousing - Amazon Redshift</li><li>Programming and Scripting:</li><li>Proficiency in languages like Python, Java, or Scala for data manipulation and automation.</li><li>Data Modeling and Architecture&nbsp;</li><li>Monitoring and Optimization - Using AWS CloudWatch for monitoring and optimizing data workflows</li><li>Proficiency in SQL and database management.</li><li>Experience with ETL (Extract, Transform, Load) processes.</li><li>Familiarity with data warehousing and cloud platforms (AWS, Azure, or Google Cloud).</li><li>Strong data modeling skills</li></ul>

Responsibilities: <ul><li>Lead the design and implementation of hybrid cloud architectures using Azure, VMware, and HCI platforms like Nutanix and Azure Stack HCI.</li><li>Provide strategic consulting on cloud migration, optimization, and best practices.</li><li>Manage and administer the hybrid cloud environment, including, provisioning, configuration, performance monitoring, policy governance and security.</li><li>Collaborate with development, operations, and security teams to ensure seamless integration and deployment of cloud services.</li><li>Good Knowledge on Cloud Adoption Framework (CAF) and Well Architecture Framework (WAF)</li><li>Experience with Microsoft Entra ID Connect, Azure AD DS, and related technologies.</li><li>Implementation and management of Public and internal DNS server.</li><li>Monitor and optimize cloud performance, cost, and security.</li><li>Automate infrastructure provisioning, configuration, and management using tools like ARM templates, Terraform, and PowerShell and Ansible.</li><li>Familiarity with CI/CD pipelines and DevOps practices.</li><li>Troubleshoot and resolve issues related to hybrid cloud infrastructure and services.</li><li>Implement and maintain disaster recovery and backup solutions.</li><li>Stay up to date with the latest cloud services, features, and best practices.</li><li>Comprehensive understanding of Identity and Access Management principles and practices.</li><li>Designing and implementing IAM policies to ensure secure and efficient user access management.</li><li>Create and maintain comprehensive documentation for VMware environments, including configurations, procedures, and troubleshooting guides.</li><li>Provide advanced troubleshooting for complex issues within the VMware infrastructure.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or a related field.</li><li>Minimum of 5-8 years of experience in cloud engineering and consulting, with a strong focus on Azure, VMware, and HCI platforms.</li><li>Strong knowledge of Azure services, including virtual machines, storage, networking, SQL PaaS, and security.</li><li>Demonstrated expertise in designing and implementing hybrid cloud solutions.</li><li>Proficiency in backup tools and disaster recovery planning.</li><li>Exceptional problem-solving skills and strategic thinking abilities.</li><li>Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.</li><li>Relevant certifications (e.g., Microsoft Certified: Azure Solutions Architect, VMware Certified Design Expert, Nutanix) are highly desirable</li><li>Experience in deployment and configuration of VEEAM backup and replication tool.</li><li>Skilled in NetApp Storage Administration, capacity planning.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong general Linux administration skills including Shell scripting/Powershell</li></ul>

Responsibilities: <ul><li>Manage and administer the Microsoft Azure cloud environment, including Migrations, provisioning, configuration, performance monitoring, policy governance and security&nbsp;</li><li>Design, implement, and manage scalable, secure, and reliable Azure cloud infrastructure.&nbsp;</li><li>Collaborate with development, operations, and security teams to ensure seamless integration and deployment of cloud services.&nbsp;</li><li>Good Knowledge on Cloud Adoption Framework (CAF) and Well Architecture Framework (WAF)&nbsp;</li><li>Implementation and management of Public and internal DNS server.&nbsp;</li><li>Monitor and optimize cloud performance, cost, and security.&nbsp;</li><li>Automate infrastructure provisioning, configuration, and management using tools like ARM templates, Terraform, and PowerShell.&nbsp;</li><li>Familiarity with CI/CD pipelines and DevOps practices.&nbsp;</li><li>Troubleshoot and resolve issues related to cloud infrastructure and services.&nbsp;</li><li>Implement and maintain disaster recovery and backup solutions.&nbsp;</li><li>Stay up to date with the latest Azure services, features, and best practices.&nbsp;</li><li>Strong knowledge of Azure services, including virtual machines, storage, networking, SQL PaaS, and security.&nbsp;</li><li>Designing and implementing IAM policies to ensure secure and efficient user access management.&nbsp;</li><li>Create and maintain comprehensive documentation for VMware environments, including configurations, procedures, and troubleshooting guides.&nbsp;</li><li>Provide advanced troubleshooting for complex issues within the VMware infrastructure.&nbsp;</li><li>Develop and design SDDC solutions, integrating vSAN for storage virtualization and NSX-T for network virtualization&nbsp;t.&nbsp;</li><li>Install, configure, and manage VMware vSphere environments, including ESXi hosts and vCenter Server.&nbsp;&nbsp;</li><li>Perform regular updates and patch management for vSphere components&nbsp;</li><li>Configure and manage Veeam Backup &amp; Replication jobs to ensure data protection across virtual and physical environments&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or a related field.&nbsp;</li><li>Minimum of 8+ years of experience in Infrastructure and networking (with 3+yrs in cloud engineering and consulting, with a strong focus on Azure, and AWS etc)&nbsp;</li><li>Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.&nbsp;</li><li>Relevant certifications (e.g., Microsoft Certified: Az-500, AZ-700,Az-305, VMware Certified Advanced Professional/Nutanix certified professional, etc.,) are highly desirable&nbsp;</li><li>Expertise in Nutanix/VxRail deployment and Lifecycle Management</li><li>Experience with cloud platforms such as AWS or Google Cloud is a plus.&nbsp;</li><li>Experience in deployment and configuration of VMware environments, including ESXi hosts, vCenter, and related components.&nbsp;</li></ul>

Responsibilities: <ul><li>Develop and maintain the organizations enterprise data architecture strategy, ensuring alignment with business requirements, data governance policies, and industry best practices.</li><li>Architect and implement cloud-based data solutions using Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics Dedicated SQL Pool.</li><li>Design and oversee the implementation of data integration processes, including ETL/ELT pipelines, to move data from various sources into the Azure data platform.</li><li>Architect and implement big data analytics solutions using Azure Databricks, leveraging its Apache Spark-based analytics engine for data processing, machine learning, and advanced analytics workloads.</li></ul> Requirements: <ul><li>Experience in cloud platform expertise (Azure, AWS, Google Cloud).</li><li>Strong knowledge of managing security infrastructure and applications.</li><li>Direct, hands-on experience or strong working knowledge of vulnerability management tools.</li><li>Understanding of standard industry compliance benchmarks (NIST, HIPPA, CIS, PCI DSS, GDPR).</li></ul>

Responsibilities: <ul><li>Implement business process improvements - automating manual processes, optimizing data delivery, redesign/restructure data and process flows for more efficiency.</li><li>Develop expertise and aim to become a subject matter expert on the entire data, analytics and process automation ecosystem.</li><li>Bridge process and technology gaps with innovative solutions using a variety of tools (e.g. Power Automate, Python, PowerApps, Selenium, SQL, UI Path etc.)</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data management.</li><li>Create visually appealing, intuitive and insightful dashboards and reports using data visualization tools (e.g. Power BI, Tableau).</li><li>Utilize statistical techniques to solve business problems and provide insights.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Collaborate with cross-functional teams to understand their data and process needs and provide analytical and digitization support.</li><li>Collaborate with DBAs, IT and Architecture teams as required</li><li>Be heavily involved in development and testing of newly integrated data sources and/or environments</li><li>Document data processes, methodologies, and analysis techniques for future reference and training purposes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering or a related field.</li><li>2+ years of experience as a Data Analyst, Digital Transformation Analyst or in a similar analytical/technical role preferably in a procurement or supply chain environment.</li><li>Experience with automation tools such as Power Automate, PowerApps, UI Path, Python, Selenium etc.</li><li>Experience with creating and managing databases in AWS, SQL Server, Oracle etc. and working with APIs to integrate systems.</li><li>Possess transferrable programming skills in any language (e.g. Python, C++, JavaScript etc.)</li><li>Proficiency in SQL for database querying and manipulation.</li><li>Experience with statistical analysis software (e.g., R, Python).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of Excel at an advanced level (Power query, macros).</li><li>Demonstrable willingness to learn new tools and technologies.&nbsp;</li><li>Strong analytical and critical thinking abilities.</li><li>Ability to explain technical processes to non-technical audiences.</li><li>Attention to detail and a proactive approach to problem-solving.</li><li>Ability to manage multiple projects and meet deadlines in a fast-paced environment.</li><li>Knowledge of machine learning algorithms and data modelling techniques.</li></ul>

Responsibilities: <ul><li>In this role, you will dive deep into the realm of IoT data, striving not only to predict equipment failures but also to gain a comprehensive understanding of the maintenance processes currently implemented across the 60+ countries where operates.&nbsp;</li><li>Your expertise will be instrumental in delivering actionable insights and innovative ideas aimed at extracting even greater value from our data for the benefit of our customers.</li><li>All decisions and recommendations should be backed by data.&nbsp;</li><li>While doing this, you get to solve challenging problems, experiment with generative AI and predictive analytics, and work with cutting-edge tools offered to us .&nbsp;</li><li> Responsible for delivering thousands of valuable insights each day to enhance the customer experience, underscoring the significance of your role in handling production workloads in the AWS cloud environment.</li><li>Design, build, and maintain scalable data pipelines to collect, process, and store data from various sources</li><li>Create and manage data models to ensure data integrity and accessibility for analytics and reporting.Optimize and maintain databases (SQL, NoSQL) to ensure high performance and availability.</li><li>Implement data validation and monitoring processes to ensure data accuracy and reliability.</li></ul> Requirements: <ul><li>Degree in Software side - IT, CSC, BTech, MTech, MCA, Specialization in Data Science, Data engineering. Avoid candidates with Educational background in mechanical, civil and electrical engineering.&nbsp;</li><li>4+ years of data engineering experience.</li><li>Should be able to explain relevant experience in products or services worked for. Need candidates from service or product industry - data management / data analysis.&nbsp;</li><li>Proficiency with AWS, GitLab CI/CD, Databricks, Python, SQL, PySpark, and DBT</li><li>Experience with AWS Components</li><li>Experience in developing and maintaining data pipelines on AWS and Databricks</li><li>Coding proficiency with Python and SQL</li><li>Should have experience in generating reports from Dashboards like power BI, Tableau Qlik sense</li><li>Experience with software testing practices and DevOps practices</li><li>Understanding of cybersecurity guidelines, data privacy and compliancy regulations</li><li>Experience in working with IoT telemetry data, enterprise data landscapes and data structures</li><li>Experience in data engineering methods and practice</li><li>Experience in data engineering process improvements</li><li>Experience with industry best practices and technical design principles</li><li>In-depth process and data knowledge for the business domain</li><li>Additional responsibilities such as leading task forces and defect triages.&nbsp;</li></ul>

Role Description:The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust.You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.Responsibilities:Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.Other duties as assignedRequirements:Minimum QualificationsBachelor's degree in a related field or equivalent experience.Minimum of four years of related work experience.Minimum of two years leading a team of Data Engineers.Preferred QualificationsConfirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.Experience leading Big Data engineering teams working in environments such as Hadoop and SparkExperience leading technology strategies with cloud Platforms including AWS, GCP or AzureExperience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.Confirmed knowledge of best practice patterns and how to apply them to modern data architectures, including data warehouses, data lakes, data mesh, hubs and associated capabilities including ingestion, governance, modeling, observability and more.Experience leveraging transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent.Proficiency in engineering tooling including docker, git, and container orchestration services.Strong experience leading devops teams with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.A passion for quality and continuous improvement with an owners mindset.Ability to work effectively as part of a team, group and cultureAbility to navigate ambiguity and work in agile ways.

Responsibilities:Formulates and leads guided, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Leads all data experiments tasked by the Data Science Team.Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.Develops methodology and processes for prioritization and scheduling of projects.Analyzes problems and determines root causes.Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.Requirements:Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields5-7 years of professional experienceProficient with one or more programming languages (Java, C++, Python, R, etc.)Demonstrated experience applying data science methods to real-world data problemsExperience utilizing visualization tools to take advantage of the growing volume of available informationData Scientist Qualifications / Skills:Advanced analytical knowledge of dataConducting big data analysisData conditioningProgramming advanced computingDeveloping algorithmsDeveloping software and data modelsExecuting predictive analytics

Responsibilities:We offer you a diverse range of tasksAnalysis, design and implementation of software as part of our engineering tools.Implementation of various components based on specifications.Maintenance and servicing of existing applications.Creation of development documentation.Collaboration in scrum and project teams.Close cooperation with external development teams.Requirements:Completed IT studies (university / FH) or equivalent training.Several years of professional experience as a software developer.Very good knowledge of Visual Studio .NET (C#, Visual Basic) and in handling relational databases (MS SQL Server, MS Access, SQLite, LINQ, Entity Framework).Familiar with the modeling language UML and current principles of software development, such as software development, such as "clean code" developmentKnowledge of CorelDRAW, XML and GitHub and agile software development methods an advantage.Team player.Enthusiastic about technology and willing to learn.Structured and independent way of working.Very good knowledge of German and English.We are looking for committed, innovative and solution-oriented applicants.

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12 sql Jobs found

Full Stack Engineer - Java

Senior Data Engineer

Cloud Infrastructure Engineer III

Cloud Solution Specialist- Hybrid

Cloud Data Architect

Data Scientist

Data Engineer / Senior Data Engineer

Data Engineer / Senior / Supervisor

ASC - Downstream Data Scientist

Software Developer

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12 sql Jobs found

Full Stack Engineer - Java

Senior Data Engineer

Cloud Infrastructure Engineer III

Cloud Solution Specialist- Hybrid

Cloud Data Architect

Data Scientist

Data Engineer / Senior Data Engineer

Data Engineer / Senior / Supervisor

ASC - Downstream Data Scientist

Software Developer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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Contact Us

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