Data Engineer- SAP Datasphere

Seeking a skilled & proactive Data Engineer with 24 years of experience to support our enterprise data warehousing and analytics initiatives. The Candidate will be responsible for building scalable data pipelines, transforming data for analytics, and enabling data integration across cloud and On-premise systems.

Key Responsibilities:

• Build and manage data lakes and data warehouses using services like Amazon S3, Redshift, and Athena
• Design and build secure, scalable, and efficient ETL/ELT pipelines on AWS using services like Glue, Lambda, Step Functions
• Work on SAP Datasphere to build and maintain Spaces, Data Builders, Views, and Consumption Layers
• Support data integration between AWS, Datasphere, and various source systems(SAP S4HANA, Non-SAP apps, Flat-files etc)
• Develop and maintain scalable data models and optimize queries for performance
• Monitor and optimize data workflows to ensure reliability, performance, and cost-efficiency
• Collaborate with Data Analysts and BI teams to provide clean, validated, and well-documented datasets
• Monitor, troubleshoot, and enhance data workflows and pipelines
• Ensure data quality, integrity, and governance policies are met

Required Skills

• Strong SQL skills and experience with relational databases like MySQL, or SQL Server
• Proficient in Python or Scala for data transformation and scripting
• Familiarity with cloud platforms like AWS (S3, Redshift, Glue), Datasphere, Azure

Good-to-Have Skills

• AWS Certification – AWS Certified Data Analytics
• Exposure to modern data stack tools like Snowflake
• Experience in cloud-based projects and working in an Agile environment
• Understanding of data governance, security best practices, and compliance standards