Data Engineer
4 weeks ago
Role : Data Engineer - Apache spark,Spark, Scala, PYspark, Hadoop, Hbase, Hive
Location : Pan India
Work Mode- Hybrid
Year of Experience :Minimum 5 Years tp 12 Years
Job Description :
- Relevant Experience 5 years.
- The indent is created for Apache spark. But the actual demand is for Spark/ Scala.
- Expertise in Data Engineering.
- Hands-on experience in design and development of big data platform.
- Deep understanding of modern data processing technology stacks : Spark, HBase, Hive and other Hadoop ecosystem technologies.
- Development using Scala.
- Deep understanding of streaming data architectures and technologies for real-time and low-latency data processing
- Experience with agile development methods including: core values, guiding principles, and key agile practices
- Understanding of the theory and application of Continuous Integration/Delivery
- Experience with No SQL technologies including column family, graph, document, and key-value data storage technologies is a plus.
- Passion for software craftsmanship.
- Experience in Financial Industry is a plus.
- Experience like on Cloudera , AWS, GCP etc.
- Relevant hands-on experience in developing application using Scala on Spark.
- Experience on Big Data Tech.
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