Data Modeler

Data Engineer

EHS Consultant

Data Engineer Lead - Python and PySpark

Data Engineer Lead - Java with Spark

Full Stack Developer

Data Engineer / Senior / Supervisor

Principal Architect IAM

Java Tech Lead

Senior Analyst - Business Intelligence (Digital Analyst)

Responsibilities: <ul><li>Responsible for designing and implementing data modeling solutions using relational, dimensional, and NoSQL databases.&nbsp;</li><li>Working closely with data architects, to develop bespoke databases utilizing a mixture of conceptual, physical, and logical models</li><li>Implement best practices for data modeling, including normalization and de-normalization techniques.</li><li>Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.</li><li>Perform data profiling and analysis to ensure data quality and integrity.</li><li>Optimize data models for performance and scalability.</li><li>Maintain and enhance existing data models to accommodate new data sources and business requirements.</li><li>Document data architecture, data dictionaries, and metadata standards.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Systems, or a related field.</li><li>3-4 years of experience in data modeling roles, preferably in designing data warehouses.</li><li>Strong understanding of relational database concepts and experience with SQL.</li><li>Experience with data modeling tools (e.g., Erwin, ER/Studio, PowerDesigners).</li><li>Knowledge of normalized, de-normalized and dimensional data modeling techniques.</li><li>Familiarity with the travel industry or retail sector and related data structures is a plus.</li><li>Ability to communicate effectively with technical and non-technical stakeholders.</li><li>Strong analytical and problem-solving skills.</li></ul>

Responsibilities: <ul><li>Design and implement scalable data pipelines and data warehouse solutions using Informatica PowerCenter.</li><li>Develop ETL processes to ingest data from various sources into the data warehouse.</li><li>Optimize and tune SQL queries for performance improvements.</li><li>Collaborate with cross-functional teams (e.g., Data Scientists, Analysts, Software Engineers) to understand data requirements and deliver solutions.</li><li>Ability to understand and integrate data sources based on different technologies like Streaming Data, Change Data Capture, APIs , Message Queues, Semi-structured(JSON,XML) and unstructured data.</li><li>Analyze raw data to determine optimal solutions for data processing and ingestions</li><li>Implement data quality and validation processes to ensure high data integrity and reliability.</li><li>Monitor and troubleshoot data pipeline issues and implement solutions in a timely manner.</li><li>Document technical designs, data mappings, and configuration management processes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>3-4 years of hands-on experience in data engineering roles.</li><li>Proficiency in Informatica Informatica IICS (ECDI, CDI CAI, Mass Ingestion etc) for designing and developing ETL workflows.</li><li>Strong SQL programming skills with experience in optimizing queries and database performance.</li><li>Experience working with large-scale data warehousing and data modeling concepts.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.</li><li>Excellent problem-solving skills and ability to work independently as well as part of a team.</li><li>Strong communication skills and ability to collaborate effectively across teams.</li></ul>

Responsibilities:Perform EHS and Social audits for various projects. The projects are in mainland China and mainly focus on South China region;Optimize supplier sustainability management system and provide sustainability training;Conduct supplier sustainability audits and follow up correction guidance;Utilize risk-based pre-assessment and post assessment method to provide thorough assessments and recommendations;Actively communicate with project manager and project team to ensure the alignment and implementation of client’s requirement;Partner with other senior members to provide EHS training to clients and internal teams; andOther tasks which allocated by managerRequirements:2-10 years’ experience in a similar role working with EHS / CSR / supply chain audit program / risk solutions implementing medium to large sized projects.Bachelor or master’s degree in environmental, chemical, or related engineering majors;Hands on experience managing, implementing, or supporting short or long term project;Knowledge of China EHS and Labor regulation and enforcement;Superior communication skills and working individually and as a group;Ability to travel up to 50% to perform field audits on average (travel requirements may fluctuate based on seasonal and project requirements);Excellent English verbal and writing skills;Computer skills including MS Office (specifically Word, Excel, PowerPoint, and Outlook). Data management experience is a plus; andRecognized professional EHS certification is preferred, such as certified safety engineer, fire engineer, CIH, CSP, ISO 14000 auditor, ISO 45000 auditor, etc. 

Responsibilities:Data Ingestion and Extraction:Develop and optimize data ingestion pipelines to efficiently extract data from various sources e.g. databases, APIs, files etc.Ensure data quality and integrity through robust validation and cleansing processesData Transformation and Processing:Design and implement data transformation logic using Python and PySpark to convert raw data into a suitable format for analysisOptimise data processing pipelines for performance and scalabilityData Storage and Management:Select and implement appropriate data storage solutions (cloud-based data warehouses, data lakes, etc.) based on data volume and complexityDevelop strategies for data retention, backup, and recoveryETL/ELT Development:Build and maintain efficient ETL/ELT processes to move data between different systems and platformsOptimize ETL/ELT pipelines for performance and cost-effectivenessCloud Infrastructure:Leverage cloud-based data engineering services (AWS, GCP, Azure) to build scalable and cost-efficient data solutionsManage and maintain cloud-based data infrastructureData Modeling and Optimization:Design and implement data models to support business intelligence and analyticsOptimize data structures and indexes for query performanceCollaboration and Communication:Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable insightsEffectively communicate complex technical concepts to both technical and non-technical audiencesData Governance and Security:Implement data governance policies and procedures to ensure data quality, security, and complianceProtect sensitive data through appropriate security measuresRequirements:At least a bachelor’s degree in computer engineering, or equivalentAt least 10 years in Microservices, with at least 4 years of experience in data engineering and architecturePrevious work experiences in using major cloud platforms (AWS, Azure, GCP) and containerisation technologies (Docker, Kubernetes)Proficient in Python and PysparkProficient in SQL and database designKnowledge and understanding of data warehousing, data lakes and big data technologiesKnowledge of data modeling and ETL/ELT processesKnowledge of PostgreSQL and OracleStrong problem-solving and analytical skillsAble to work independently and as part of a teamLead and manage the development team including assigning tasks and monitoring progressPreferred Requirements:Experience in using data visualization tools e.g. Tableau, PowerBI

Responsibilities:Lead and manage the development team, including assigning tasks and monitoring progressPart of Development team to analyse, design, and implement enterprise-wide Java based systemsHands on expertise in Microservices.Plan, analyse and define solutions through business, functional and technical expertiseWork with product managers on issues or questions related to system requirementsRespond to inquiries concerning application development and supportDevelop, program, and maintain applications using the Apache Spark open-source frameworkWork with different aspects of the Spark ecosystem, including Spark SQL, DataFrames, Datasets, and streamingRequirements:At least a bachelor’s degree in computer engineering, or a relevant fieldMinimum 10 years of hands-on experience in Spark, Microservices and latest Java versionMinimum 6 years of experience in cloud computing and architectureExperience with major cloud platforms e.g. AWS, Azure, GCP etc.Experience with containerization technologies e.g. Ec2, Docket, KubernetesExperience using Spark framework and streaming data platformsExperience in hands-on programming skills in Java and Hadoop ecosystemKnowledge in relational databases i.e. SQL and ORM technologies e.g. JPA2, HibernateKnowledge in database design and data normalisationKnowledge of DevOps methodologies and toolsKnowledge of Oracle / PostgreSQLKnowledge of relational databases, SQL and ORM technologies i.e. JPA2, Hibernate and database design and data normalizationPreferred Requirements:Knowledge and hands-on experience in Hadoop concepts like Hadoop Common, HDFS, Hadoop Yarn, Hadoop MapReduce and data processing techniquesPrevious work experiences as a Java, Spring boot Technical Lead or similar rolesStrong experience with Java and Spring boot frameworks like MVC, REST backend applications

Responsibilities:Ensure Development Efforts related to integrations are tested (Primitive/Sanity tests)Ensure adequate Unit testing is conducted i.e. xUnit / nUnitEnsure codes are to meet quality standards i.e. Resharper, Sonarcube, solution meets passive criteria of user stories, solution meets passing criteria of user stories and that solution meets blueprintCollaborate with relevant stakeholders i.e. Architect and Business Analyst and Peers to ensure that a robust and elegant solution is of design standardsBuild web-based applications based on Microservices architecture in .Net core and C#Perform API debugging, logging and database query optimisationHave an eye for new technologies and be open to self-improving on existing methodsRequirements:Bachelor’s degree in computer engineering, or equivalentAt least 10 years in Microservices with minimally 4 years in data engineeringProficient in SQL and NoSQLExperience in .NET technologies including .NET Core, Entity Framework, Web API, React, JavascriptExperience in building web-based applications based on microservices architecture in .Net Core and C#Experience in containerisation frameworks e.g. Docker, KubernetesUnderstanding of Microservice Architecture (MSA) and design patterns to build highly scalable modulesUnderstanding of authentication frameworks and data communication protocols like webSocketsUnderstanding of CI/CD environments or pipelinesProven ability to show work responsibility, excellent organisational, communication and interpersonal skillsProven analytical and problem-solving skills with the ability to work in an unstructured, fast-paced environmentAmbitious about learning and self-improvement particularly to acquire new technologiesPreferred Requirements:Experience in Mongo, Redis, RedisSearch, MsSQL

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: Engage with multiple teams of highly talented engineers and architects to design and develop highly scalable, secure and configurable identity solutions that meet the needs of our customers and stakeholders. Actively engage with leadership across Product, Architecture, Design and Engineering to design, propose, discuss and refine new features and functionality. Collaborate with other engineering teams, IT, and business stakeholders to understand requirements and deliver innovative identity solutions that meet organizational needs. Communicate with stakeholders on technical standards, principles, methodologies and trends. Enhance overall system operational characteristics by establishing best practices for code quality, reduction in tech debt, building frameworks or shared techniques to improve engineering effectiveness. Identify opportunities for refactoring, API changes, and other types of tech debt remediation. Influence management for driving technical decision-making for the right selection of technology by giving forthright, understandable, and actionable advice. Work with standards defining organizations to understand the evolving standards, identify gaps, provide inputs on platform gaps, contribute to roadmap planning to build world class CIAM platform. Drive decision-making with team members with different views for simple to complex problems with the business requirements to help synthesize the best solution. Requirements: You must have significant business knowledge and technical expertise in application design and architecture, as well as knowledge of related domains of technical architectures (network, security, and infrastructure engineering), information architectures, and data architectures. Expert in back-end development using Java EE technologies (e.g. Java language, application servers, servlet containers, JMS, JPA, Spring MVC, Hibernate). In-depth knowledge of identity management technologies, protocols, and standards, and competent in designing solutions for reliability, availability, scalability, and performance. In-depth knowledge of Identity standards such as OAuth 2.0, Open ID Connect, SCIM etc. Must be a self- starter, work independently or as a team member, and have strong communication skills in interfacing with business partners and the Technology. Strong OOP skills, with ability to analyze requirements and transform into scalable software designs. Experience with HTTP, REST API's and competent designing and building web services/microservices in a commercial setting. Knowledge of SQL and other/NoSQL/modern database and storage technologies. Desired understanding of Oracle, JDBC and ORM frameworks (e.g. Hibernate). Experience with Design Patterns, MVC and frameworks (e.g. Spring). Competent in software engineering tools (e.g. Java build tools) and best practices (e.g. unit testing, test automation, continuous integration, etc.). Serve as a strong advocate of code craftsmanship, good coding standards and use of tools that will improve the quality of the delivered code Experience with using Agile/Scrum methodology for software development Deep understanding of web services and SOA related standards like REST/OAuth/JSON and SOAP/WSDL. Extra credit: Provide your GitHub account or code samples with your resume! 

Responsibilities:Lead and manage the development team, including assigning tasks and monitoring progressDevelopment team to analyze, design, and implement enterprise-wide Java based systemsHands on expertise in Microservices.Planning, analyzing and defining solutions through business, functional and technical expertiseWork with product managers on issues or questions related to system requirementsResponding to inquiries concerning application development and support.Requirements:Bachelor’s or Masters Degree in Computer Engineering or a closely related field;10+ Years experience in Microservices,Minimum of 4+ years of experience in cloud computing and architecture.Proven experience with major cloud platforms (AWS, Azure, GCP, etc.).Good Knowledge of DevOps methodologies and tools.Experience with containerization technologies (Docker, Kubernetes).Good knowledge of PostgreSQL knowledgeProven work experience as a Java Technical Lead or similar roleStrong experience with Java and Java frameworksExcellent knowledge of relational databases, SQL and ORM technologies (JPA2, Hibernate)

Responsibilities:Run E2E analytics projects from gathering business needs to validating hypothesis to output delivery, data visualization and generating value by providing data analysis-to-actionable insights.Understand complex and diverse technology infrastructure and identify sources and tools needed.Develop logical and conceptual data flows that are in support of project requirements and advise appropriate and effective use of data.Communicate and present technical information to non-technical stakeholders.Provide orientation and training to end users.Provide commercial perspective & guidance to junior staff members working on individual use cases.Project & stakeholder management activities, maintaining documentation to support line manager and update stakeholders on project status & risks.Requirements:4+ years of experience in analytics tools & technologies or processes.Exceptional collaboration and communication skills, be able to convert stakeholders needs to real business problems.Ability to operate clearly in an ambiguous environment; ability to influence.Data science experience is a plus.Basic SQL, Power BI/data Studio other reporting tools.Knowledge of Google Analytics UA and moving to Google Analytics 4, at least basic knowledge of Google Tag Manager.Able to work with console logs in JavaScript.Google Big Query (nice to have),English (business communication proficiency).

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68 ms sql Jobs found

Data Modeler

Data Engineer

EHS Consultant

Data Engineer Lead - Python and PySpark

Data Engineer Lead - Java with Spark

Full Stack Developer

Data Engineer / Senior / Supervisor

Principal Architect IAM

Java Tech Lead

Senior Analyst - Business Intelligence (Digital Analyst)

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Skills

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68 ms sql Jobs found

Data Modeler

Data Engineer

EHS Consultant

Data Engineer Lead - Python and PySpark

Data Engineer Lead - Java with Spark

Full Stack Developer

Data Engineer / Senior / Supervisor

Principal Architect IAM

Java Tech Lead

Senior Analyst - Business Intelligence (Digital Analyst)

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

EMPLOYER

TALENT

COMPANY

Contact Us

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