Introduction

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your Role And Responsibilities

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

Preferred Education

Master's Degree

Required Technical And Professional Expertise

Total 5-8+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills
Minimum 5+ 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

Preferred Technical And Professional Experience

Certification in AWS and Data Bricks or Cloudera Spark Certified developers

Data Engineer-Data Platforms-AWS