Senior Data Engineer

4 days ago

Mumbai Metropolitan Region, India Golden Legand Leasing and Finance Ltd. Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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

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