Senior Data Engineer

7 days ago

Mumbai, India golden legand leasing and finance limited Full time

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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