SAP Senior Software Engineer (Hybrid)

Sr. Engineer - SAP Full Stack (Hybrid)

Full Stack Engineer - Java

Data Scientist

Data Engineer / Senior Data Engineer

Sr. Generative AI Engineer

Senior/SE II Engineer - Data Platform Team

Software Developer

Responsibilities: <ul><li>Apply software engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied software solutions and incorporate security practices in newly developed and maintained applications.</li><li>Participate in peer code review sessions to review code, coach peers and ensure code quality.</li><li>Take the lead in the assigned agile team to adopt agile philosophies, facilitate agile ceremonies and identify continuous improvement opportunities.</li><li>Incorporate the companys engineering and development best practices within the full software development lifecycle including coding standards, code reviews, source control management, building processes, testing and security principles, to deliver high quality code rapidly.</li><li>Collaborate to lead demonstration and continuous feedback sessions to improve development and help drive the long term vision.</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills.</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.</li><li>Other duties as assigned</li></ul> Requirements: Qualifications Minimum Qualifications <ul><li>Bachelors degree in a related field or equivalent experience</li><li>Confirmed experience automating pipelines for continuous integration, testing, delivery and security</li><li>Confirmed experience architecting applications, databases, services or integrations</li><li>Minimum of four years of related work experience</li></ul> Preferred Qualifications <ul><li>Experience within SAP ABAP, Fiori, and OOP</li><li>Experience with Enhancement framework, CDS Views, AMDP, BOPF</li><li>Experience with Odata, Web Services, PI/PO, MII, ALE, and idoc</li><li>Experience with Adobe forms</li><li>Exposure to Agricultural Commodity Management (ACM) or prior experience with Commodity Trading and Settlement.</li></ul>

Responsibilities: <ul><li>In depth knowledge of SAP ABAP/4 programming using BAPIs, BADIs, RFCs, IDOCs, Workflow, LSMW, Reports, SAPScript, writing user exits, BDC coding, and interfaces.</li><li>Designing and implementing workflows to automate business processes.</li><li>Support RICEF objects, Fiori apps, and B2B integrations (SOAP, IDOC, OData).</li><li>The SAP ABAP Developer should possess strong application development and system integration skills.</li><li>Experience in Fiori Design patterns, expertise in UI Theme designer.</li><li>Design, develop, and enhance SAP business applications using ABAP on the backend and SAP Fiori/UI5 for the frontend.</li><li>Build and extend existing Fiori applications using SAPUI5, HTML5, CSS, and JavaScript.</li><li>Troubleshoot and resolve complex issues in SAP modules (e.g., FICO, SD, MM) by analyzing root causes and implementing effective solutions.</li><li>Experience with Fiori/UI5 is highly desirable.</li><li>Enhance the user experience (UX) by designing intuitive and responsive Fiori/UI5 applications, incorporating Fiori Elements and smart controls.</li><li>Leverage BTP services to develop and deploy cloud-based applications and extensions.</li><li>Support ongoing development, implementation, and quality checks for existing projects/applications.</li><li>Participate in peer code reviews and learn and adapt to the companys engineering and development practices.</li></ul> Requirements: Qualifications Minimum Qualifications <ul><li>Bachelors degree in a related field or equivalent experience.</li><li>Confirmed experience automating pipelines for continuous integration, testing, delivery and security.</li><li>Confirmed experience architecting applications, databases, services or integrations.</li><li>Minimum of four years of related work experience.</li></ul> Preferred Qualifications <ul><li>Minimum 4 years of experience as an SAP developer or a similar role with a focus on SAP S/4, ECC, BW, SOLMAN, FIORI, GRC</li><li>Strong, well-rounded knowledge of SAP full life cycle implementations and SAP concepts / capabilities</li><li>Proficient in ABAP, EDI management, and SAP modules.</li><li>Proficiency in SAPUI5, HTML5, CSS3, and JavaScript</li><li>Experience working in Implementation, Upgrade, Maintenance and support projects</li><li>Experience of Designing, coding, and modifying SAP applications to meet specific requirements.</li><li>Strong background in SAP Gateway and OData services</li><li>SAP Certification is a plus.</li><li>Knowledge of SAP Cloud Platform and BTP is a plus.</li></ul>

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>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>

Responsibilities: <ul><li>Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.&nbsp;&nbsp;</li><li>Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.&nbsp;&nbsp;</li><li>Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.&nbsp;&nbsp;</li><li>Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.&nbsp;</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.&nbsp;</li><li>Contribute to the establishment of best practices and standards for generative AI development within the organization.&nbsp;</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.&nbsp;</li><li>Other duties as assigned&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience&nbsp;</li><li>Minimum of five years of related work experience&nbsp;</li><li>You are proficient in Python and have experience with machine learning libraries and frameworks&nbsp;</li><li>Have deep understanding of industry leading Foundation Model capabilities and its application.&nbsp;&nbsp;</li><li>You are familiar with cloud-based Generative AI platforms and services&nbsp;</li><li>Full stack software engineering experience to build products using Foundation Models&nbsp;</li><li>Confirmed experience architecting applications, databases, services or integrations&nbsp;</li></ul>

Responsibilities:As a Senior Software Engineer in the Data Platform team, you will play a pivotal role in designing, developing, and maintaining scalable systems. Your responsibilities will include:Design and implement scalable and reliable microservices on AWS infrastructure.Mentor and guide other engineers, fostering a culture of collaboration, continuous learning, and professional growth.Create and maintain comprehensive technical documentation for architectures, processes, and procedures.Provide support during critical incidents and implement preventive measures.Monitor and analyze AWS usage, providing recommendations for cost savings without compromising system performance and reliability.Craft resilient, secure, and efficient code, ensuring optimal performance and minimal downtime.Responsibilities:Demonstrated ability to work effectively in a collaborative team environment, mentoring junior team members and contributing to a positive team culture.Demonstrated expertise in Java development, with a strong command of Java 11 and above.Proven experience in designing, developing, and optimizing backend systems for data processing at scale within AWS.In-depth knowledge and hands-on experience with foundational AWS services, such as; ALB, ECS, S3, ElastiCache, IAM, CloudWatch.Demonstrated expertise in implementing and maintaining Kafka-based event-driven services.Proficiency in both relational and NoSQL databases, with an understanding of database design, optimization, and management.Strong skills in Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation.Hands-on experience with Jenkins and establishing robust CI/CD pipelines.

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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8 databases Jobs found

SAP Senior Software Engineer (Hybrid)

Sr. Engineer - SAP Full Stack (Hybrid)

Full Stack Engineer - Java

Data Scientist

Data Engineer / Senior Data Engineer

Sr. Generative AI Engineer

Senior/SE II Engineer - Data Platform Team

Software Developer

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8 databases Jobs found

SAP Senior Software Engineer (Hybrid)

Sr. Engineer - SAP Full Stack (Hybrid)

Full Stack Engineer - Java

Data Scientist

Data Engineer / Senior Data Engineer

Sr. Generative AI Engineer

Senior/SE II Engineer - Data Platform Team

Software Developer

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

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