Key Responsibilities
- Design and develop real-time data pipelines using
Kafka, Spark, AWS Kinesis
, and related technologies.
- Build and support scalable data processing solutions on
AWS
.
- Modernize legacy ingestion frameworks using cloud-native services.
- Develop and optimize large-scale distributed data processing systems.
- Troubleshoot and support production data platforms and streaming applications.
- Collaborate with cross-functional teams on enterprise data integration initiatives.

Required Skills & Experience
- 10+ years of experience in Data Engineering, Software Engineering, or related fields.
- Strong expertise in
AWS Cloud Services
and cloud-native architectures.
- Hands-on experience with
Apache Spark (Scala & PySpark)
.
- Strong knowledge of the
Hadoop Ecosystem
and distributed computing.
- Experience with
Kafka
, streaming technologies, and real-time data pipelines.
- Experience with
AWS Kinesis, Kinesis Firehose, Flume
, or similar ingestion platforms.
- Solid programming skills in
Python, Scala, and Java
.
- Experience with
Big Data, Enterprise Data Warehousing, and Distributed Systems
.

📌 Sr. Data Engineer (Hyderabad)
🏢 Insight Global
📍 Hyderabad