Job Description

Key Responsibilities

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

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