Key Skills: Snowflake, Python, DBT, ETL, GCP, Bigquery, Databricks, Airflow, SQL, Azure, AWS, Redshift

Roles and Responsibilities:

- Design, develop, and maintain scalable batch and data integration pipelines for wealth management datasets.
- Build and manage data models and transformation workflows using dbt and cloud data warehouse technologies.
- Develop Python-based data engineering utilities, validation processes, and automation.
- Configure and support managed data ingestion using Fivetran or Airbyte.
- Implement data quality checks, troubleshoot pipeline issues, and improve reliability across production workflows.

Skills Required:





- 2-10 years of relevant data engineering experience; immediate joiners and candidates with wealth management domain experience are preferred.
- Hands-on experience with Snowflake, BigQuery, or Amazon Redshift.
- Practical experience building transformations and data models with dbt.
- Experience with Fivetran or Airbyte for data ingestion and source integration.
- Robust Python programming skills for data pipelines and engineering automation.

Good to Have:

- Experience with SQL, Apache Airflow, Databricks, AWS, Azure, or Google Cloud Platform.

Education: B.Tech or B.E. in Computer Science, Information Technology, Engineering, or a related discipline.

📌 Data Engineer (Hyderabad)
🏢 Careernet
📍 Hyderabad