About This Role

5 to 9 years of experience
Skills: Python , Spark , SQL, Autosys , Shell , BI & Data Science , Azure, AWS, MongoDB

Role Profile

As a senor data engineer your role will be to create and deliver high quality, resilient data solutions to our Fraud business partners and being a productive member of the development team. You will be working on various existing and new technology stacks which include on-prem relational and big-data technologies & new cloud-based technologies in AWS and Azure. You will be expected to share ownership of our projects and contribute to the active development and maintenance of our applications. You will have the opportunity to be exposed to modern software engineering tools and best practices. You will have the opportunity to be exposed to how a large investment bank like Morgan Stanley detects and prevents fraud. You will work in a dynamic agile team that uses Scrum for its workflow. You will be expected to be involved in the full development lifecycle.



You will be expected to collaborate with others in the wider team as well as working on your own initiative.

Skills Required
- 5+ years of relevant work experience
- Strong with programming in Python to perform, o Batch data engineering on Apache Spark and populate downstream batch data stores (such as data mart) for BI use cases & to generate downstream feeds (ie., flat & wide tables or compressed files) for Data Science use cases
- Strong with SQL Server & Hadoop based implementations
- Strong SQL skills
- Good hands-on experience with at least one of the job scheduling tools like Autosys (Preferred), Control-M etc.,
- Experience of working in a Linux workplace and can write Python/Shell scripts
- Strong data analytics skills
- Strong oral and written communication skills
- Excellent interpersonal skills and professional approach
- Strong analytical and problem-solving skills
- Ability to learn quickly and pick up new techniques and/or technologies
- Experience in buil

📌 Data Engineer (Bengaluru)
🏢 Lister Digital
📍 Bengaluru