Role : Data Engineer

Location : Remote, India

Type : Contract/C2H

Job Description :

Key Responsibilities :

- Design, develop, and maintain data pipelines using Azure Data Factory.

- Implement data models and structures in Snowflake to support analytics and reporting.

- Write complex SQL queries for data extraction, transformation, and loading (ETL).

- Develop and maintain Python scripts for data processing and automation.

- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.

- Monitor and optimize data workflows for performance and reliability.

- Implement Snowpipe, Snowpark, and Snowflake Streams and Tasks for real-time data processing.

- Utilize Databricks and DBT for data transformation and orchestration.

Primary Skills :

- Azure Data Factory : 3-4 years of experience in designing and implementing data integration solutions.

- Snowflake : 3-4 years of experience in data warehousing and analytics.

- Data Modeling : 3-4 years of experience in designing data models for analytical purposes.

- SQL : 3-4 years of experience in writing and optimizing SQL queries.

- Python : 3-4 years of experience in data processing and automation.

Secondary Skills :

- Experience with Snowpipe for continuous data ingestion.

- Familiarity with Snowpark for data processing using Python.

- Knowledge of Snowflake Streams and Tasks for managing data changes.

- Experience with Databricks for big data processing.

- Proficiency in DBT for data transformation and modeling.