Data Engineering offshore

About the role

Data Engineering offshore at Zensar Technologies. Design, develop, and support scalable batch and near real-time data pipelines, data products, and lakehouse-ready data assets using Spark, Python, SQL, Hive, Databricks.

What you'll do

• Design, develop, and support scalable batch and near real-time data pipelines, data products, and lakehouse-ready data assets using Spark, Python, SQL, Hive, Databricks
• Build and optimize capabilities supporting the ONE Data Lake and Mastercard's unified data platform strategy
• Develop ingestion, transformation, and orchestration solutions for batch and streaming/near real-time data patterns using technologies such as Cribl, SSIS, Apache Ozone
• Enable trusted, governed, and accessible enterprise data through the implementation of data quality, lineage, and governance standards
• Partner closely with Product, TPM, Data Governance, Architect, and Engineering teams to deliver strategic business outcomes

What you need

• 6–11 years in data science & ai
• SQL
• Python
• ETL
• Spark
• Databricks
• Data warehousing
• Any graduate

Good to have

• Machine learning
• Power BI
• SSIS
• Root cause analysis
• Hive
• Azure

What you get