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Senior Data Engineer - ETL / Data Warehousing

Senior Data Engineer - ETL / Data Warehousing

golden legand leasing and finance limitedMumbai
21 days ago
Job description

About the Role :

We are building an independent AI team to power next-generation data-driven solutions for AashaPurti (Personal & Gold Loans) and India Online Pay (Payment Gateway). As a Data Engineer, you will play a key role in designing and implementing scalable data pipelines, data lakes, and ETL workflows to support AI models, real-time analytics, and BI dashboards. You will ensure high-quality, reliable, and secure data availability for credit scoring, fraud detection, and other fintech use cases.

Key Responsibilities :

  • Design, develop, and maintain ETL / ELT pipelines for structured and unstructured data from multiple sources (loan management systems, payment gateways, transaction logs, external APIs like CIBIL).
  • Build and manage data lakes and data warehouses for analytics and machine learning use cases.
  • Optimize data ingestion and processing frameworks for real-time and batch workflows.
  • Implement data quality, validation, and monitoring systems.
  • Work closely with Data Scientists, AI Engineers, and BI teams to deliver high-quality datasets for model training and dashboards.
  • Ensure data security and compliance with RBI guidelines, GDPR, and internal policies.
  • Collaborate with MLOps engineers for model deployment pipelines.
  • Troubleshoot data-related issues and optimize performance for scalability.
  • Document data models, workflows, and processes.

Required Skills & Qualifications :

Education : B.E / B.Tech / MCA / M.Sc. in Computer Science, Data Engineering, or related field.

Experience : 36 years in Data Engineering roles (preferably in fintech, banking, or payment systems).

Technical Skills :

  • Strong programming skills in Python (Pandas, PySpark) or Java / Scala.
  • Proficient in SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra).
  • Experience with big data technologies : Apache Spark, Hadoop, Kafka.
  • Hands-on with ETL tools (Airflow, Prefect, Luigi).
  • Familiarity with cloud platforms (AWS / GCP / Azure) and data services (S3, BigQuery, Redshift).
  • Knowledge of data lake and warehouse design.

    • Bonus Skills :

  • Experience with real-time streaming (Kafka, Kinesis).
  • Exposure to MLOps and AI / ML data pipelines.
  • Understanding of fintech data structures (KYC, transactions, credit scoring).

    • Soft Skills :

  • Strong problem-solving and analytical skills.
  • Ability to work in a fast-paced, agile environment.
  • Excellent communication and documentation skills.

    • Compliance & Security Awareness :

  • Familiarity with RBI guidelines, data localization, and data privacy regulations.
  • Experience implementing data encryption and masking techniques.

    • Why Join Us?

  • Work on cutting-edge AI and analytics solutions in the fintech domain.
  • Be part of a new AI innovation team with high visibility and impact.
  • Opportunity to design data architecture from the ground up.
  • Competitive compensation, flexible work culture, and growth opportunities

    • (ref : hirist.tech)

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