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 .

📌 Data Engineer (AWS, SQL) (Hyderabad)
🏢 Insight Global
📍 Hyderabad