Data Engineer

Job description

work as part of a team to maintain data pipelines for extraction, loading and transformation of data from several data sources using SQL and AWS 'big data' technologies. Looking for an agile professional willing to work with teams in an Agile/Scrum environment to provide a quality product is delivered.

Qualifications

• We ask that you have a person who is pursing Bachelor's degree in Computer Science, Software Engineering, Data Science, or other engineering discipline required.
• A track record for building complex data extraction and ETL projects. Ingest data into large data lake using programming, SQL and ETL tools. Understand software development principles and operations.
• Experience in Python, PySpark, SQL, and knowledge of other computer languages. Experience with Hadoop systems.
• Excellent one-on-one Experience troubleshooting issues with users, specifically Experience communicating updates and resolutions to customers and other partners technical information
• 5 to 8 years of working experience in a commercial software development environment • 3+ years of experience as an engineer in data platform centric environments
• Experience with cloud development on the Amazon Web Services (AWS) platform with services including API Gateway, Lambda, EC2, ECS, SQS, SNS, Dynamo DB, Redshift and Aurora

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Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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