The ideal candidate should have strong SQL & Python expertise, hands-on experience in any one ETL tool or cloud data warehouse, and a basic understanding of Python.

You will be responsible for building and maintaining scalable data pipelines and supporting analytics initiatives across the organization.

Key Responsibilities:

- Design, develop, and maintain ETL/ELT pipelines for integrating and transforming data from various sources.

- Write and optimize complex SQL queries for data extraction, analysis, and reporting.

- Work on data warehousing platforms such as Snowflake, Redshift, or similar cloud data solutions.

- Use of one ETL tools like Informatica, Talend, Pentaho, or equivalent for data integration.

- Ensure data quality, accuracy, and integrity through validation and monitoring processes.

- Collaborate with business and analytics teams to translate data requirements into technical solutions.

- Document data processes, pipeline logic, and workflow designs.

Required Skills & Qualifications :

- 4-8 years of hands-on experience as a Data Engineer or in a similar data role.

- Strong proficiency in Python & SQL (query tuning, joins, stored procedures, and analytical queries).

- Experience in any ETL tool such as Informatica, Talend, Pentaho, or similar.

- Exposure to cloud data warehousing platforms like Snowflake, AWS Redshift, or BigQuery.

- Basic knowledge of Python for scripting or automation.

- Understanding of data modeling, ETL concepts, and data pipeline design.

- Strong communication and problem-solving skills with the ability to collaborate across teams.

- Bachelors degree in Computer Science, Information Technology, or a related field.