About The Opportunity

- A fintech start-up based in Bangalore, The company’s mission is to revolutionize lending in India by providing fast, easy credit to salaried employees in under 3 minutes. The Sr. Data Engineer will play a critical role in building the data infrastructure that powers this vision.

Role &

Responsibilities

- Design, build and own scalable data pipelines and the data platform on AWS and Snowflake, covering loan origination, servicing, collections, partner and bureau data.
- Build and optimise data models in Snowflake (dimensional / data vault) that serve Analytics, Data Science, Risk and Finance teams.
- Develop reliable batch and near real-time ingestion using AWS services (S3, Glue, Lambda, Redshift, Kinesis / DMS) and orchestration tools such as Airflow.
- Own the BI layer – build and maintain dashboards for Management, Risk, Collections and Business, and ensure data is accurate and timely.
- Set up data quality checks, monitoring, lineage and documentation; ensure reconciliation of financial and regulatory data.
- Implement data security, access controls and governance in line with RBI and data privacy requirements.
- Mentor junior engineers, set best practices and drive cost and performance optimisation of the data stack.

Skills &

Qualifications

Must-Have

- Strong hands-on experience with AWS data services (S3, Glue, Lambda,



Redshift, EMR, IAM).
- Deep expertise in Snowflake – data modelling, performance tuning, cost optimisation and security.
- Experience building BI dashboards in tools such as Tableau, Power BI, Looker, QuickSight or Metabase.
- Expert SQL and strong Python / PySpark skills.
- Experience with orchestration and transformation tools such as Airflow and dbt.
- Understanding of data warehousing, ETL / ELT design and CI/CD for data pipelines.
- Team handling and mentoring capabilities.
- Strong stakeholder management and excellent communication skills.
- Must be willing to work in a high growth and fluid work environment.
- Strong passion for Fintech and latest advancements in the financial services space.

Preferred

- Exposure to lending data (loan ledgers, repayments, DPD, bureau) is a plus.

Benefits & Culture Highlights
- Compensation will be the best in industry, with growth potential tied to individual and company performance.
- Prospect to join a high-growth startup with a mission to revolutionize lending in India.
- Work alongside experienced founders with a track record in fintech and analytics.

Skills: dms,quicksight,sql,dbt,python,iam,snowflake,tableau,lambda,s3,emr,aws,kinesis,pyspark,airflow,redshift,metabase,glue,power bi,looker

📌 Sr. Data Engineer (Bengaluru)
🏢 Time Hack Consulting
📍 Bengaluru