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Apache Kafka Jobs in Chennai

Explore top Apache Kafka Job opportunities in Chennai for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Lead Data Engineer
Lead Data Engineer

via Lymbyc
Founded 2012
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Bengaluru (Bangalore), Chennai
Experience icon
4 - 8 years
Experience icon
Best in industry9 - 14 lacs/annum

Key skill set : Apache NiFi, Kafka Connect (Confluent), Sqoop, Kylo, Spark, Druid, Presto, RESTful services, Lambda / Kappa architectures Responsibilities : - Build a scalable, reliable, operable and performant big data platform for both streaming and batch analytics - Design and implement data aggregation, cleansing and transformation layers Skills : - Around 4+ years of hands-on experience designing and operating large data platforms - Experience in Big data Ingestion, Transformation and stream/batch processing technologies using Apache NiFi, Apache Kafka, Kafka Connect (Confluent), Sqoop, Spark, Storm, Hive etc; - Experience in designing and building streaming data platforms in Lambda, Kappa architectures - Should have working experience in one of NoSQL, OLAP data stores like Druid, Cassandra, Elasticsearch, Pinot etc; - Experience in one of data warehousing tools like RedShift, BigQuery, Azure SQL Data Warehouse - Exposure to other Data Ingestion, Data Lake and querying frameworks like Marmaray, Kylo, Drill, Presto - Experience in designing and consuming microservices - Exposure to security and governance tools like Apache Ranger, Apache Atlas - Any contributions to open source projects a plus - Experience in performance benchmarks will be a plus

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Venky Thiriveedhi picture
Venky Thiriveedhi
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Big Data Developer
Big Data Developer

Founded 2011
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Chennai
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1 - 5 years
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Best in industry1 - 6 lacs/annum

• Looking for Big Data Engineer with 3+ years of experience. • Hands-on experience with MapReduce-based platforms, like Pig, Spark, Shark. • Hands-on experience with data pipeline tools like Kafka, Storm, Spark Streaming. • Store and query data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto. • Hands-on experience in managing Big Data on a cluster with HDFS and MapReduce. • Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm. • Experience with Azure cloud, Cognitive Services, Databricks is preferred.

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John Richardson picture
John Richardson
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John Richardson
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