Description

Responsibilities include:

Collaborate with business and data product teams to translate complex business requirements into scalable analytical and data solutions.

Perform in-depth data analysis using SQL and exploratory tools across platforms such as Snowflake, Oracle, SQL Server, Big Data, and Informatica MFT.

Develop detailed functional requirements and transformation rules to support ETL, data integration, and data engineering initiatives.

Partner with ETL, Data Science, and business stakeholders to validate data quality, troubleshoot issues, and ensure successful project delivery.

Create and execute validation scripts to verify ETL transformations, data loads, and overall data accuracy within the enterprise environment.

Support data governance efforts by documenting metadata, data lineage, reference data, and data quality standards while working with global teams in an Agile environment.

Required Qualifications:

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

8+ years of experience in data analysis, data management, or data engineering environments.

Strong hands-on experience with Informatica MFT, DBT, Snowflake, and advanced SQL, including data profiling, validation, and ETL support.

Experience working in Agile environments with a solid understanding of SDLC processes, data warehousing concepts, and cloud technologies such as AWS

Key Skills

Education

Any Graduate