Data Engineer (II)
NCR Corporation (company site, opens in a new tab)7+ yrsGurugramOn-siteDirect career pageEst. 20–32 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain ELT data pipelines using PySpark and Databricks Workflows.
- Implement and optimize Data lakehouse architecture focusing on performance and cost efficiency.
- Manage data pipeline orchestration with Azure Data Factory and ensure data quality and reliability.
Minimum Requirements
- 7+ years of experience in data engineering; minimum 2 years with Databricks.
- Strong expertise in PySpark, including DataFrames, Spark SQL, window functions, and UDFs.
- Advanced SQL skills with complex joins, CTEs, aggregations, and query optimization.
- Experience working with Azure cloud services (ADLS Gen2, ADF) or equivalent AWS/GCP services.
Ideal Candidate Profile
- Proficient in handling complex data engineering tasks involving scalable ELT pipelines and data lakehouse concepts.
- Experienced in integrating data engineering workflows with analytics and data science teams for trusted dataset delivery.
- Used to working in cloud environments with DevOps practices, CI/CD pipelines, Git version control, and automation.