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.
• Chance 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