Description

Responsibilities include:

Design, develop, and maintain scalable ETL/ELT data pipelines using SQL Server, Snowflake, Python, and SSIS.

Collaborate with business stakeholders and technical teams to translate data requirements into effective data solutions.

Develop and optimize data warehouse objects, SQL queries, stored procedures, and transformation processes.

Ensure data quality, integrity, and compliance through validation, reconciliation, and monitoring activities.

Support system integration testing (SIT), user acceptance testing (UAT), production deployments, and issue resolution.

Monitor and optimize data processing performance while providing production and on-call support as needed.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Data Engineering, or a related technical field.

6-8 years of experience in data engineering, ETL/ELT development, and enterprise data warehousing.

Strong hands-on experience with SQL Server, Snowflake, Python, and SSIS, including development and optimization of data pipelines.

Experience designing and supporting scalable data integration solutions, data quality processes, and Snowflake-based data warehouse environments

Key Skills

Education

Any Graduate