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) .
Robust 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.
Strong programming skills in

Python, Scala, and Java .
Experience with

Big Data, Enterprise Data Warehousing, and Distributed Systems .

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