As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform

Responsibilities:

Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS

Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform

Experience in developing streaming pipelines

Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc

Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise

Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala ;

Minimum 3 years of experience on Cloud Data Platforms on AWS;

Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB

Good to excellent SQL skills

Exposure to streaming solutions and message brokers like Kafka technologies

Preferred technical and professional experience

Certification in AWS and Data Bricks or Cloudera Spark Certified developers

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Data Engineer-Data Platforms-AWS