Data Engineer

Our leading Fortune 100 Financial Services client is looking to bring on a Lead Data Engineer to assist with several business critical pushes. In this role you will be contributing a specific line of business of our clients and developing new best practices in data movement and transformation. 

  Responsibilities:

• Partner with product owners, peers, and end-users to understand business requirements and identify risk/issues in a timely matter and escalate as necessary.
• Be the intersection with lines of business, Finance and Technology. The ability to understand various perspectives is critical when optimizing an engineering solution.
• Provide technical guidance concerning business implications of application development projects
• Leverage programming skills in open source languages including Python and SQL on various frameworks especially Spark.
• Manage multiple responsibilities in an unstructured environment where you're empowered to make a difference. In that context, you will be expected to research and develop cutting edge technologies to accomplish your goals.

  Required Skills:

• 8 - 10+ years of related experience.
• Solid understanding and experience in big data solutions using open-source languages such as Python and SQL on Spark framework.
• Experience working on data projects and data management involving querying databases and/or transforming legacy data platforms to future data streaming platforms.
• Solid understanding and experience in Cloud computing, preferably AWS and its services including Glue, EMR/EC2, DynamoDB and Lambda functions.
• Test Automation.
• Desired Skills (not required but candidate will have exposure to these skills in this role):
• Experience working in Financial Services industry