Design, develop, and manage data pipelines using Databricks (Spark, Delta Lake).
Optimize large-scale data processing workflows for performance and reliability.
Collaborate with Data Scientists, Analysts, and Business Stakeholders to gather requirements and deliver actionable insights.
Maintain and enforce data quality and integrity across multiple data sources and systems.
Work with cloud data platforms such as Azure, AWS, or GCP.
Implement data governance and lineage tracking using tools like Unity Catalog, Great Expectations, or similar.
Monitor, debug, and troubleshoot data pipelines and jobs.
Required Qualifications :
7+ years of professional experience in data engineering or similar roles.
Strong experience with Databricks, Apache Spark, and Delta Lake.
Proficient in SQL, Python, and distributed data processing concepts.
Experience working with cloud platforms (Azure / AWS / GCP) and cloud-native tools.
Hands-on experience with ETL / ELT processes, data warehousing, and modern data stack.
Familiarity with CI / CD practices and version control tools (e.g., Git).
Strong problem-solving skills and ability to work independently or in a team environment.
(ref : hirist.tech)
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Senior Data Engineer • Jaipur
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