Senior Data Engineer

Location: Gurgaon, Sector 32

Experience: 3-6 Years

Job Summary

We are seeking a highly skilled Senior Data Engineer with solid expertise in Python, Kafka, Spark, AWS, and distributed data systems. The ideal candidate will be responsible for building scalable batch and streaming data pipelines, designing cloud-native data platforms, and enabling reliable data solutions for analytics and business applications.

Key Responsibilities

- Design, build, and maintain scalable batch and real-time data pipelines.
- Develop streaming solutions using Kafka and Spark Structured Streaming.
- Implement CDC (Change Data Capture) pipelines using Debezium.
- Build and manage Data Lake architectures on AWS.
- Orchestrate workflows using Apache Airflow and Prefect.
- Write high-quality, production-grade code in Python.
- Ensure data quality, monitoring, observability, and reliability.




- Deploy and manage applications using Docker and Kubernetes.
- Participate in HLD/LLD, architecture discussions, and performance optimization.

Required Skills

- Strong expertise in Python
- Apache Kafka
- Apache Spark (Batch & Streaming)
- AWS (S3, EC2, IAM, EMR, Glue, EKS)
- CDC using Debezium
- Apache Airflow
- Prefect
- Strong SQL
- Data Structures & Algorithms (DSA)
- Data Lake architectures
- Docker & Kubernetes
- HLD/LLD and System Design
- Experience building streaming data pipelines

Good to Have

- Apache Superset or similar BI tools
- Data observability, monitoring, and alerting
- ML data pipelines and feature engineering
- Iceberg, Delta Lake, or Hudi

Education B.Tech / B.E. in Computer Science, Information Technology, or a related engineering discipline.

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