Analytics Engineer
Analytics Engineer
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Job Description
At Prodigal were reshaping the future of consumer finance. Founded in 2018 by IITB alumni our journey began with one bold mission: to eradicate the inefficiencies and confusion that have plagued the lending and collections industry for decades.
Today we stand at the forefront of a seismic shift in the industry pioneering the concept of consumer finance intelligence. Powered by our cuttingedge platform Prodigals Intelligence Engine were creating the nextgeneration agentic workforce for consumer financeone that empowers companies to achieve unprecedented levels of operational excellence.
With over half a billion consumer finance interactions processed and a growing impact on more than 100 leading companies across North America weve established ourselves as the goto partner for organizations that demand more from their AI solutions. Our unparalleled experience coupled with our trusted customer relationships uniquely positions us to build generative AI solutions that will revolutionize the future of consumer finance.
At Prodigal we are driven by a singular unrelenting purpose: to transform how consumer finance companies engage with their customers and in turn drive successful outcomes for all.
About the role
Analytics engineers provide clean data sets to end users modeling data in a way that empowers end users to answer their own questions. While a data analyst spends their time analyzing data an analytics engineer spends their time transforming testing deploying and documenting data. Analytics engineers apply software engineering best practices like version control and continuous integration to the analytics code base.
We are looking for a passionate and driven Analytics Engineer to join our team. You will be instrumental in building scalable data pipelines generating powerful insights and supporting our AI/ML initiatives. If you enjoy working across data engineering and analytics and want to help shape the future of AIdriven financial products wed love to hear from you!
Responsibilities
- Design build and manage robust data pipelines for collecting transforming and modeling data effectively within our Databricks data lake.
- Turn raw data into clean reliable and tested assets using SQL and modern transformation tools like dbt.
- Collaborate closely with crossfunctional teams to deliver actionable insights that drive strategic products AI and business decisions.
- Contribute to AI research initiatives by validating model performance and supporting data needs for machine learning projects.
- Identify and address performance bottlenecks in data processing analytics and reporting.
Requirements
- B.E/ from Tier 1 or Tier 2 engineering colleges
- 13 years of professional experience in data engineering
- Working with data querying and scripting languages (e.g. SQL NoSQL Python/R)
- Experience building and maintaining data pipeline processes using tools like Airflow SQL tasks and stored procedures.
- Working knowledge of data visualization tools like Tableau Hex or Power BI.
- Experience working with AWS services such as Lambda S3 Cloudfront SQS and more
- Good problem solving critical thinking and communication skills. Should be able to find the right balance between perfection and speed of execution
- Selfstarter and selflearner who is comfortable working in a fast paced environment while continuously evaluating emerging technologies
- Bonus: Foundational knowledge in fundamentals of Machine Learning and Artificial Intelligence
Mode of Work Office (Powai Mumbai)
Our Tech Stack
- Products built using Python Devin Cursor
- Databases such as MongoDB PostgreSQL Redis Databricks
- Deployments on EKS EC2 Lambda and other AWS services
What we offer
Job Benefits
- GenAI experience Work directly in the innovative field of Agentic AI/ GenAI shaping groundbreaking projects that redefine consumer finance intelligence.
- Worldclass team Youll get the chance to learn from (and teach) some of the brightest and most skilled people youll ever meet. Our team members have been part of Tower Research BCG Meta Blackstone Amazon Deloitte EYand are IIT IIM BITS alumnus.
- Continuous education As relentless seekers of knowledge we sponsor and support any training materials books courses and exam fees for upskilling yourself in areas related to your role but thats not where it ends. If you make a good case for some extra learning were delighted to foot the tab.
- Food at the office Meals are on us. We wont let your stomach grumble while you hustle.
- Health insurance Health always comes first. The health of your family is as important to us as it is to you. We offer insurance coverage for both you and your family.
- Flexible schedule Were not a clock in clock out company. Morning person Start work while the worlds still sleeping. Night owl Ramp things up while others are winding down. Youre fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
- Generous leave policy Take all the time you need to recharge your batteries no cap on vacation here. Because a rested relaxed and refreshed mind is a happy and effective mind.
- Recreation & team activities We regularly indulge in friendly football table tennis cooking sessions and challenge each other to do those extra push ups or chug that 4th drink (of course thats Nimbu Pani).
From day 1 Prodigal has been defined by talented humble and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fastpaced intellectuallystimulating environment where you will be pushed to grow then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.
To learn more about us please visit the following:
Employment Type
Full Time
Key Skills
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