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Data Engineer - ETL / SQL

Data Engineer - ETL / SQL

Wits Innovation LabBangalore
14 days ago
Job description

Key Skills & Qualifications :

  • 5+ years of experience in Data Warehousing (DWH) and ETL development, preferably within AWS and Databricks environments.
  • At least 2 years of experience building robust data pipelines using Databricks, PySpark, and SQL.
  • Strong expertise in SQL writing, optimizing queries, and understanding data modeling and governance best practices.
  • Hands-on experience with SQL Server, Oracle, and / or cloud databases.
  • In-depth knowledge of data warehousing concepts, including Star and Snowflake schemas.
  • Experience in data ingestion and transformation from files, databases, and other sources.
  • Proven ability to conduct data profiling and extract meaningful design insights.
  • Strong understanding of enterprise business processes and system interdependencies.
  • Excellent communication skills with the ability to engage directly with end-users.
  • Capable of managing multiple clients or projects simultaneously.
  • Strong analytical skills and attention to detail with a focus on documentation and process clarity.

Roles & Responsibilities :

  • Engage with business stakeholders to gather and analyze reporting and analytics requirements, and develop data solutions accordingly.
  • Collaborate with application developers and business analysts to implement and fine-tune AWS and Databricks-based data workflows.
  • Design, develop, and maintain data pipelines using Databricks (Delta Lake, Spark SQL, PySpark), AWS Glue, and Apache Airflow.
  • Build and orchestrate ETL processes using Databricks notebooks, PySpark, and AWS Glue, ensuring efficient and reliable data transformation.
  • Write and optimize SQL scripts, queries, views, and stored procedures to support performance-focused data models.
  • Investigate and resolve production issues through root cause analysis and provide timely resolutions for data inconsistencies.
  • Maintain up-to-date technical documentation, including data models, data flows, and field-level mappings.
  • Support daily batch processing and ensure consistent, reliable data delivery to downstream systems.
  • Continuously refine database schemas, Delta Lake structures (Delta Tables, Parquet), and views to maintain high data integrity and system performance.
  • ref : hirist.tech)

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    Data Engineer • Bangalore

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