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. Robust programming skills in

Python, Scala, and Java . Experience with

Big Data, Enterprise Data Warehousing, and Distributed Systems .

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