Senior Associate Data Engineering Hyderabad

Senior Associate Data Engineering Hyderabad

14 Aug
|
National Payments Corporation Of India (NPCI)
|
Hyderabad

14 Aug

National Payments Corporation Of India (NPCI)

Hyderabad

The Chance

To design and implement real-time data streaming pipelines ensuring 24 7 availability of high-volume transactional data. Your role includes building fault-tolerant, scalable systems using modern big data technologies, integrating data from multiple sources into data lakes/lakehouses, and enabling downstream analytics. You will collaborate with internal teams (Data Science, Product, and Technology) to deliver reliable data solutions, optimize performance, and maintain compliance with NPCI standards.

Job Details
Job Title: Data Engineer (Streaming)
Division: Data Analytics
Years of Experience: 38 years
Education: Graduation in Computer Science/IT (preferably BE/B.Tech) or equivalent; advanced degrees are a plus
Employment Type: Full time, Permanent
Location: Mumbai Hyderabad

Key Responsibilities
Design and develop real-time data pipelines using Apache Kafka and stream processing frameworks (Spark Structured Streaming / Apache Flink).
Ensure 24 7 data availability with fault-tolerant, highly reliable systems.
Implement ingestion, transformation,



and load (ITL) patterns for data lakes/lakehouses (S3/MinIO, HDFS).
Work with table formats like Iceberg, Hudi, or Paimon for ACID transactions and schema evolution.
Optimize SQL queries on Trino/Hive for large-scale analytics.
Develop orchestration workflows using DBT, Dagster, or Airflow for data transformations.
Write productive code in Python, Scala, and Java for data processing and automation.
Collaborate with cross-functional teams to understand requirements and deliver high-quality data solutions.
Monitor pipeline health, manage checkpoints, and implement observability for streaming jobs.
Ensure compliance with security, governance, and audit standards.

Requirements

Key Skills and Experience Required
Mandatory Technical Skills:
Apache Kafka (topics, partitions, offsets, reliability)
Stream processing (Spark Structured Streaming or Apache Flink)
Preferred Technic

📌 Senior Associate Data Engineering Hyderabad
🏢 National Payments Corporation Of India (NPCI)
📍 Hyderabad

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