Data Engineer- AWS/Hadoop/Python- Only W2 & Onsite Only

Data Engineer- AWS/Hadoop/Python Location: Chandler, AZ \_ 3 days onsite Duration: 12 Months + Position is STRICTLY W2 ONLY, no sponsorship is provided Minimum 4 years of hand on experience with • Building data pipeline using big-data stack (Hadoop, Hive, PySpark, python) • Amazon AWS S3 Object storage, security, data service integration with S3 • Data modelling and database design. • Job Scheduler Autosys • PowerBI, Dremio • Unix/shell scripting, CICD pipeline • Exposure in Google Cloud Platform cloud data engineering is a plus Manager Notes: • The contractors need to be proactive, they can't wait to be told what to do • Must be accountable along with the technical skills • The tech stack mentioned, these are the technologies being used to build data pipelines • They need to model, design the data, build pipelines, applying logic to the data to transform the data and troubleshoot • They should have strong understanding and implementation of Autosys • Ability to automate using spark, Python, Hadoop/Hive • Should have a fundamental background in database design (MySQL or any standard database) • Exposure to Cloud data engineering is a big plus, not required • Financial services experience is a plus but not required-having domain knowledge is helpful Technical Assessment -We need a clear understanding of tech work experience, they need to be able to describe the work they have done -Overall problem solving, so given a problem how efficiently does their thought process drive towards a solution? Location: Chandler, AZ only option 3 days a week in office