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 recent technology stacks which include on-prem relational and big-data technologies & recent 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 up-to-date 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
Solid 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 environment and can write Python/Shell scripts
Robust 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 building & maintaining data solutions for BI & Data Science use cases

Skills Desired
Experience in data architecture and modeling exper

📌 Data Engineer Mumbai
🏢 Accolite Digital India
📍 Mumbai