AWS Python ETL Data Tester
infosys technologiesRaleigh, NC
AWS Python ETL Data Tester
APPLY NOW (opens in a new tab)About the role
Overview:
In this Technology Consultant 2 role, you will drive data testing and integration work within Infosys’ financial services projects. You’ll participate in requirements and design discussions, implement and validate ETL processes, and help ensure reliable data delivery across cloud and on-premise platforms. You will collaborate cross-functionally to maintain quality, resolve production issues, and empower users with training and documentation. This role offers hands-on coding, automation, and the chance to shape data-quality practices on transformative banking, wealth management, and insurance initiatives. You will join a team focused on AI-powered, data-driven transformation in financial serv Compensation / Benefits Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts 401(k) plan Paid holidays and PTO
Responsibilities:
Document assigned parts of business requirements and support elicitation Facilitate design discussions and capture design decisions Code, integrate new features, and maintain system stability Conduct code reviews and manage changes in code repositories Develop and execute test strategies, analyze results, and coordinate fixes Create user training, documentation, and support frameworks Participate in resolving production issues and suggest preventive measures Maintain detailed records of code, tests, and support activities
Key requirements:
Data/ETL Testing experience Python-based ETL test automation experience ETL, Data Warehouse, and Data Migration Testing Automation solutions using Python/Shell for ETL and data validation SQL and database validation across Oracle, SQL Server, PostgreSQL, Snowflake, AWS Redshift, or BigQuery Validate mappings, transformations, data lineage, and business logic Data reconciliation, completeness, referential integrity, duplicate detection, and data quality validations Experience with ETL tools (Informatica, Ab Initio, ODI, SSIS, DataStage, Azure Data Factory, Databricks) Understanding of Data Warehousing concepts (facts, dimensions, star schema, SCD) Validation of cloud-based data platforms (AWS, Azure, Databricks, Snowflake, GCP) Batch job validation, workflow monitoring, and scheduling tools (Autosys, Control-M, Airflow) Documentation of test scenarios, SQL validations, automation assets, and testing processes Collaboration with business, development, and data engineering teams Collaborative spirit Excellent communication Cross-functional teamwork ETL & Data Quality Python scripting SQL and database validation
Matching similar jobs
JOB OVERVIEW
Experience level
Senior
Location
Raleigh, NC
Occupation
Data Warehousing Specialists
Industry
Computer Systems Design Services
Posted
today
Tired of running searches?
Rank the roles you'd take once, and matches like these arrive on their own.
CREATE PROFILE (opens in a new tab)