Position: AWS Python Developer

Location:  Dallas, TX

Duration: 6+ Months

Experience: 10+

Detailed Job Description:

• 1+ year of experience as a Data Engineer building and maintaining data pipelines and supporting BI initiatives,
• 9 yrs experience in Data Reconciliation, ETL Testing, BI Report Testing, and Manual Testing in the Digital Media, Financial, and Banking domains.
• Skilled in SQL, Python, and data modeling with a strong foundation in traditional ETL workflows.
• Strong working knowledge of Python libraries NumPy, Pandas, and Matplotlib.
• Experienced in writing complex SQL queries for data retrieval, manipulation, and analysis using Snowflake, SQL Server, and AWS Athena.
• Expertise in validating Extract, Transform, Load (ETL) processes to maintain data quality and consistency.
• Ability to detect and resolve data discrepancies efficiently Expertise in analyzing data flow between the source, target system, and BI reports.
• Performed data reconciliation, source-to-target mapping, and transformation validation
• Experience writing test scripts using SQL and Python (Pandas) for data validation testing.
• Good understanding of Data Warehouse concepts, Star Schema, Snowflake, FACT, and Dimension tables.
• Experience in BI report testing (Sigma Computing).
• Experience in API testing using Postman and Swagger.
• Experienced in methodologies like Agile and waterfall.
• Experienced in agile project management with Jira for tracking issues and managing development tasks.
• Implemented CI/CD pipelines using Jenkins for efficient deployment and automation.