Senior Data Engineer

Job Functions & Responsibilities Cloud Data Engineering & Integration : - Design and implement data pipelines across AWS, Azure, and Google Cloud. - Develop SAP BTP integrations with cloud and on-premise systems. - Ensure seamless data movement and storage between cloud platforms. ETL & Data Pipeline Development : - Develop and optimize ETL workflows using Pentaho and Microsoft ADF / or equivalent ETL tools. - Design scalable and efficient data transformation, movement, and ingestion processes. - Monitor and troubleshoot ETL jobs to ensure high availability and performance. API Development & Data Integration : - Develop and integrate RESTful APIs to support data exchange between SAP and other platforms. - Work with API gateways and authentication methods like OAuth, JWT, API keys. - Implement API-based data extractions and real-time event-driven architectures. Data Analysis & SQL Development : - Write and optimize SQL queries, stored procedures, and scripts for data 3 analysis, reporting, and integration. - Perform data profiling, validation, and reconciliation to ensure data accuracy and consistency. - Support data transformation logic and business rules for ERP reporting needs. Data Governance & Quality (Ataccama, Collibra) : - Work with Ataccama and Collibra to define and enforce data quality and governance policies. - Implement data lineage, metadata management, and compliance tracking across systems. - Ensure compliance with enterprise data security and governance standards. Cloud & DevOps (AWS, Azure, GCP) : - Utilize Azure DevOps and GitHub for version control, CI / CD, and deployment automation. - Deploy and manage data pipelines on AWS, Azure, and Google Cloud. - Work with serverless computing (Lambda, Azure Functions, Google Cloud Functions) to automate data workflows. Collaboration & Documentation : - Collaborate with SAP functional teams, business analysts, and data architects to understand integration requirements. - Document ETL workflows, API specifications, data models, and governance policies. - Provide technical support and troubleshooting for data pipelines and integrations.

Skills Required Skills & Experience : - 7+ years of experience in Data Engineering, ETL, and SQL development. - Hands-on experience with SAP BTP Integration Suite for SAP and non-SAP integrations. - Strong expertise in Pentaho (PDI), Microsoft ADF, and API development. - Proficiency in SQL (stored procedures, query optimization, performance tuning). - Experience working with Azure DevOps, GitHub, and CI / CD for data pipelines. - Good understanding of data governance tools (Ataccama, Collibra) and data quality management. - Experience working with AWS, Azure, and Google Cloud (GCP) for data integration and cloud-based workflows. - Strong problem-solving skills and ability to work independently in a fast-paced environment.

Preferred Qualifications : - Experience working on SAP S / 4HANA and cloud-based ERP implementations. - Familiarity with Python, PySpark for data processing and automation. - Experience working on Pentaho, Microsoft ADF / or equivalent ETL tools - Knowledge of event-driven architectures - Familiarity with CI / CD for data pipelines (Azure DevOps, GitHub Actions, etc.).

Education & Certifications Bachelor's or Master's degree in a relevant field like Computer science , Data Engineering or related technical field. Nice to have below certifications : A) Azure Data Engineer associate B) SAP Certified Associate - Integration Developer