Data Engineer: Big Data-AWS

Job description

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

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and Al journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities

·  AWS, Python, Pyspark Develops data engineering solutions on AWS Cloud ecosystem.
·  Proficient with using other open-source technologies like Apache Airflow and dbt, Spark / Python or Spark / Scala on AWS Platform
·  (SQL OR (PL/SQL)) AND AWS AND Python AND (django or pyramid or flask),
·  AWS services - glue, s3, LAMDA
·  SQL scripting CODING experience MANDATORY

Required Technical and Professional Expertise

·  (SQL OR (PL/SQL)) AND AWS AND Python AND (django or pyramid or flask),
·  AWS services - glue, s3, LAMDA
·  SQL scripting CODING experience MANDATORY

Preferred Technical and Professional Expertise

·  Understanding of Devops.
·  Experience in building scalable end-to-end data ingestion and processing solutions
·  Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala