Senior Data Engineer

New
Delhi / Ahmedabad / Bangalore / Mumbai / Indore / Jaipur / Hyderabad, 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)ContractSenior
Salary not disclosed
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Job Details

Experience
7+ years
Required Skills
AWSPythonSQLGitSnowflakeAirflowCI/CDdbt

Requirements

  • 7+ years in Data Engineering.
  • Solid hands-on experience with AWS.
  • Expertise in ELT design and data warehousing best practices.
  • Expert in optimising Snowflake.
  • Expert in dbt (macros, testing, modularisation).
  • Excellent SQL and Python skills.
  • Good CI/CD and Git skills.
  • Experience using AI coding assistants to work efficiently.

Responsibilities

  • Manage and optimise Snowflake data warehouses.
  • Overhaul Snowflake warehouse performance through materialisation strategies, dynamic tables, and clustering optimisation.
  • Build scalable ETL/ELT pipelines using dbt, Airflow, Fivetran, and AWS DMS.
  • Develop modelling layers in dbt using medallion architecture principles.
  • Transform raw data into clean, reliable, and business-ready models.
  • Integrate data from multiple sources, including CRM systems, payment platforms, and gaming platforms.
  • Own initiatives focused on data quality improvements and monitoring.
  • Support the transition towards real-time data ingestion using technologies such as DMS, Kafka, and Kinesis.
  • Produce and maintain clear, comprehensive documentation.
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