Data Engineer(ETL to Snowflake)

Position: ETL to Snowflake

Experience: 5+ Yrs

Workmode: Remote

Notice Period: Immediate Joiners

Job Summary: An experienced Data Engineer with strong expertise in designing, developing and optimizing ETL pipelines for Snowflake based data platforms. The ideal candidate should have hands on experience with Snowflake, DBT, Azure Data Factory, Azure Data lake storage, Python and SQL. The role requires building scalable data pipelines, ensuring high quality data Integration and supporting analytics initiatives.

Key Responsibilities: Design, Develop and maintain ETL, ELT into snowflakes.

Use DBT modules. ADF for data ingestion. ADLS for data management.

SQL Queries, Automation skills using python.

Collaborate with stakeholders.

Troubleshoot production issues.

Mandatory Skills: Snowflake, Python, SQL, DBT, Azure Data Factory and Azure Data Lake storage.

Require Qualification: Bachelors in Computer science or IT.

5+ years of experience in Data Engineering and ETL development.

Strong analytical, problem solving and communication skills

Compensation: 200,[hidden],000.00 per month

Work Location: Remote .