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FounditPosted on 2026-05-22
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Senior Data Engineer - Databricks (Rotational Night Shift)

InfoCepts

PuneFull timeFresherNot Disclosed

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23+Important JD
Keywords
SqlsqlSparkazuresparkDatabricksDelta Lakedatabricks + 15 more

Job Description

Position: Senior Data Engineer - Databricks (Rotational Night Shift)

 

Location: Pune/Nagpur/ Chennai/ Bangalore

 

Type of Employment: FTE

 

Purpose of the Position:

To design, build, and optimize & support scalable data pipelines and solutions using Databricks and related technologies, to make faster, data-driven decisions as part of our clients data transformation journey. We are looking for data engineer with proficiency in data integration techniques, ETL processes and data pipeline architectures and well versed in Data Quality rules, principles and implementation.

 

Key Result Areas and Activities:

 

  • Data Pipeline Development & Support: Design, develop and optimize end to end batch and streaming data pipelines using Azure Databricks and Spark.
  • Data Architecture Implementation: Apply Medallion Architecture to structure data layers (raw, enriched, curated).
  • Data Quality & Governance: Ensure data accuracy, consistency, and governance using tools like Azure Purview and Unity Catalog.
  • Performance Optimization: Optimize Spark jobs, Delta Lake tables, and SQL queries for efficiency and cost-effectiveness.
  • Collaboration & Delivery: Work closely with analysts, architects, and business teams to deliver end-to-end data solutions.
  • About The Company

    InfoCepts

    Infocepts enables improved business results through more effective use of data, AI & user-friendly analytics. We partner with our clients to resolve the most common & complex challenges standing in their way of using data to strengthen business decisions.

    Company Size1000-5000
    Founded2004
    HeadquartersWashington DC, VA
    IndustryBusiness Consulting and Services
    TypePrivately Held
    SpecialitiesData Strategy, Artificial Intelligence, Data Science, Data Fluency, Cloud, Data Engineering, Data Platforms, Data Trust, Analytics Migration, Data-driven Automation, Hypercare, Analytics as a Service, Data Management, Service Management, Business Consulting, Digital Experiences, Business Value Delivery, and Machine Learning

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