Application Developer

JD: Snowflake/dbt/Python/ADF

Total years of exp:10+ experience

Relevant exp: 4+ years of working experience in Snowflake, dbt , Python, ADF on Azure in production environments and hands-on experience in developing moderate to complex ETL/ELT data pipelines

Job location: India GDC location

Mandatory skills: Snowflake, dbt , Python, ADF on Azure

Shift Timing: as per client

Detail JD:

Strong experience in SQL, Python, Snowflake, dbt, and ADF.

4+ years of working experience in Snowflake, dbt , Python, ADF on Azure in production environments and hands-on experience in developing moderate to complex ETL/ELT data pipelines

Advanced SQL in Snowflake (CTEs, Views, UDFs, Materialized Views) & DBT

Partitioning, clustering, and performance tuning in Snowflake Streams, Tasks, and Snowpipe for real-time and incremental data pipelines

Cost and query optimization (e.g., using result cache, pruning, compute credits control)

DBT-Data Modeling, SQL Mastery, Workflow Optimization & Configuration a plus, Data Loading and Cleaning

3+ years of hands-on experience with Cloud Composer (Airflow) developing DAGs

3+ years of ETL Python development experience; experience parallelizing pipelines

Demonstrated ability to troubleshoot complex query, pipeline, and data quality issues

Develop, test, and deploy robust ETL pipelines on Snowflake on MS Azure Platform using, but not limited to, Snowflake/dbt, Cloud Composer, and Cloud Run to ingest structured/unstructured data from on-prem SQL Server instances into Snowflake Models/Database/Schema

Implement data validation checks, error handling, and logging to ensure pipeline reliability

Automate deployment workflows using CI/CD pipelines (GitHub Actions, etc.) and infrastructure-as-code (IaC) tools

Monitor pipelines via Cloud Logg