Data Engineer
2 days ago
Job Description
Position-Data Engineer (Snowflake+DBT+Airflow)
Location- Pune,Ahmedabad
Experience-5yr
working Mode- Hybrid
Skills-Snowflake, Apache Airflow,Terraform , DBT,Git, SQL, Spark and Python , Data Warehousing, CIi/CD Pipelines
Key Responsibilities:
Design, implement, and optimize data pipelines and workflows using Apache Airflow
Develop incremental and full-load strategies with monitoring, retries, and logging
Build scalable data models and transformations in dbt, ensuring modularity, documentation,
and test coverage
Develop and maintain data warehouses in Snowflake
Ensure data quality, integrity, and reliability through validation frameworks and automated
testing
Tune performance through clustering keys, warehouse scaling, materialized views, and query
optimization.
Monitor job performance and resolve data pipeline issues proactively
Build and maintain data quality frameworks (null checks, type checks, threshold alerts).
Partner with data analysts, scientists, and business stakeholders to translate reporting and
analytics requirements into technical specifications.
Qualifications:
Snowflake (data modeling, performance tuning, access control, external tables, streams &
tasks)
Apache Airflow (DAG design, task dependencies, dynamic tasks, error handling)
dbt (Data Build Tool) (modular SQL development, jinja templating, testing, documentation)
Proficiency in SQL, Spark and Python
Experience building data pipelines on cloud platforms like AWS, GCP, or Azure
Strong knowledge of data warehousing concepts and ELT best practices
Familiarity with version control systems (e.g., Git) and CI/CD practices
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