Posted:4 days ago|
Platform:
Work from Office
Full Time
As Data Engineer, you wi deveop, maintain, evauate and test big data soutions. You wi be invoved in the deveopment of data soutions using Spark Framework with Python or Scaa on Hadoop and AWS Coud Data Patform Responsibiities: Experienced in buiding data pipeines to Ingest, process, and transform data from fies, streams and databases. Process the data with Spark, Python, PySpark, Scaa, and Hive, Hbase or other NoSQL databases on Coud Data Patforms (AWS) or HDFS Experienced in deveop efficient software code for mutipe use cases everaging Spark Framework / using Python or Scaa and Big Data technoogies for various use cases buit on the patform Experience in deveoping streaming pipeines Experience to work with Hadoop / AWS eco system components to impement scaabe soutions to meet the ever-increasing data voumes, using big data/coud technoogies Apache Spark, Kafka, any Coud computing etc Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Minimum 4+ years of experience in Big Data technoogies with extensive data engineering experience in Spark / Python or Scaa ; Minimum 3 years of experience on Coud Data Patforms on AWS; Experience in AWS EMR / AWS Gue / DataBricks, AWS RedShift, DynamoDB Good to exceent SQL skis Exposure to streaming soutions and message brokers ike Kafka technoogies Preferred technica and professiona experience Certification in AWS and Data Bricks or Coudera Spark Certified deveopers
IBM
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