Data Engineer_105345

MyCareernet
Bengaluru, Karnataka, India

Company:A Large Global Organization

Key Skills: Pyspark, Azure Databricks, SQL, Medallion Architecture, PowerBI, Python

Roles and Responsibilities:

  • Design, build, and maintain scalable ETL and ELT pipelines using Azure Databricks and PySpark.
  • Ingest and transform structured, semi-structured, and unstructured data from enterprise source systems.
  • Develop curated Delta Lake data models across medallion architecture layers for analytics and AI/ML consumption.
  • Implement data quality controls, operational metadata, auditability, lineage, reconciliation, and exception handling.
  • Support governed access to lakehouse data and resolve pipeline, data quality, and delivery issues in collaboration with downstream consumers.Skills Required:
  • 5 - 8 years of relevant experience in data engineering and lakehouse development.
  • Hands-on experience developing production data pipelines with PySpark and Azure Databricks.
  • Strong SQL skills for data transformation, validation, analysis, and performance tuning.
  • Practical experience implementing medallion architecture and curated lakehouse data layers.
  • Experience building scalable ETL/ELT pipelines, Delta Lake models, data quality controls, and analytics-ready datasets.Good to Have:
  • Experience with Power BI and Python for analytics enablement, data preparation, or supporting downstream data products.Education: Any graduate degree; any academic branch considered.

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Is this Data Engineer_105345 job remote or onsite?

This is based in Bengaluru, Karnataka.

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