Senior Data Engineer (Python, PySpark, Kafka)
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About the role
**Key Responsibilities:** Develop and maintain robust Python code for data manipulation, scripting, and application development Design and build high-performance data transformation jobs using PySpark on large-scale datasets Build and maintain real-time data streaming pipelines using Apache Kafka , including Kafka Connect and Kafka Streams implementations Work with the Hadoop ecosystem, including HDFS, YARN, Hive, and related technologies Extract, query, and manage data using SQL and relational databases (e.g., PostgreSQL, SQL Server) Apply data warehousing concepts and dimensional modeling principles to optimize data architecture Manage code repositories and collaborate with teams using version control systems (e.g., Git, GitHub ) B.Tech, M.Tech 6 to 9 Years
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Company Intel
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