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.
Robust expertise in

AWS Cloud Services and cloud-native architectures.
Hands-on experience with

Apache Spark (Scala & PySpark)

.
Solid 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