2 months ago
Bengaluru, IndiaEntry Level
Responsibilities
- Design, build, and manage data pipelines for collecting, transforming, and modeling data in the Databricks data lake.
- Create clean, reliable, and tested data assets using SQL and dbt.
- Collaborate with cross-functional teams to deliver insights supporting products, AI, and business decisions.
- Support AI research and machine learning initiatives by validating model performance and fulfilling data needs.
- Identify and resolve performance bottlenecks in data processing, analytics, and reporting.
Requirements
- At least 1 year of professional data engineering experience.
- Experience with data querying and scripting languages such as SQL, NoSQL, Python, or R.
- Experience building and maintaining data pipelines using tools such as Airflow, SQL tasks, and stored procedures.
- Working knowledge of Tableau, Hex, or Power BI.
- Experience with AWS services such as Lambda, S3, CloudFront, and SQS.
- Strong problem-solving, critical-thinking, and communication skills, with the ability to balance thoroughness and execution speed.
- Ability to work independently, learn continuously, and operate in a fast-paced environment.
- Bonus: foundational knowledge of machine learning and artificial intelligence.
Benefits
- Health insurance for the employee and family.
- Meals provided at the office.
- Travel reimbursement.
- Unlimited leave.
- Subsidized gym membership.
- Unlimited learning and development.
- Flexible work schedule.
- In-office work in Koramangala, Bengaluru.
Categories
Data Engineering
About Prodigal
Prodigal builds a SaaS AI platform for consumer finance lenders and debt-collection operations to analyze conversations, guide agents, and automate compliance and recovery workflows. The company serves enterprises across North America with products for speech analytics, interaction intelligence, and collections optimization. Founded in 2018 and headquartered in Mountain View, California, Prodigal is privately held.