DBT Engineer with Advance SQL and Python
Primary Skills
- Skills: DBT, ETL, Snowflake, Airflow, Python, GIT
- Tools – AWS, dbt, Airflow, Snowflake
- Source Systems – Salesforce Sales Cloud, Google Analytics, Data Cloud
- Metrics – Pipeline, CSP, Product Usage and Ops, Web
Job requirements
- Skills: DBT, ETL, Snowflake, Airflow, Python, GIT
- Tools – AWS, dbt, Airflow, Snowflake
- Source Systems – Salesforce Sales Cloud, Google Analytics, Data Cloud
- Metrics – Pipeline, CSP, Product Usage and Ops, Web
- Location – Hyderabad
- Remote / Hybrid – Hybrid – 3 days in the office (They should be able to visit Hyderabad Client office as needed or at a defined regular cadence)
- Develop DBT ETL pipelines for data ingestion and transformation.
- Maintaining, deploying and code versioning the ETL process.
- Using GIT CI/CD for DevOps.
- Actively develop, enhance and maintain data pipelines and workflows for marketing data and metrics.
- Design & develop easy, repeatable and reusable automation data frameworks.
- Work and collaborate with global teams across North America, EMEA and APAC.
- Help in building POC solutions for new marketing metrics that drive effective decision making.
- Design & develop easy, repeatable and reusable automation data frameworks.
- Responsible for end-to-end data management activities, including but not limited to identify fields, data lineage and integration, performing data quality checks, analysis and presenting data.
Role & Responsibilities
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