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Pune, India Techno Wise Full time

We are looking for a AWS Data Engineer who will be able to design and build solutions for one of our Fortune 500 Client programs, which aims towards building a Enterprise Data Lake on AWS Cloud platform and build Data pipelines by developing several AWS Data Integration, Engineering & Analytics resources.

Key Responsibilities

Perform technical assessment across Glue ETL and Lambda functions Build the Python programs across the Glue ETL and Lambda functions Build PySpark based data pipeline resources on AWS EMR Clusters & Glue ETL requiring in-depth knowledge on majority of Hadoop and NoSQL databases as well Optimize performance of Spark applications in Hadoop using configurations around Spark Context, Spark-SQL, Data Frame, and Pair RDD’s Create documentation for user adoption, deployments, runbook, and support client users forenablement or for any issues encountered. Ability to monitor, troubleshoot and debug failures using AWS CloudWatch and Grafana Perform code reviews with the team and enable them to develop code for complex scenarios Liaise with all SDLC support teams to ensure seamless deployment to controlled environments and thus ensuring application robustness

Qualifications:

Bachelor’s Degree or equivalent in computer science or related and minimum 7+ years of experience Certified on one of – Solution Architect OR Data Analytics Specialty by AWS 2+ years of hands-on experience on AWS S3, Glue ETL & Catalog, EMR, Lamba Functions,Athena & Kafka Require 2+ years of hand-on experience on PySpark programming Experience in writing complex SQL queries Preferred expertise on MongoDB, Oracle & Hadoop (Hive, Hdfs, Yarn) Require Technical Coordination skills to drive requirements and technical design with multipleteams Financial services and Healthcare industry experience preferred Requires aptitude to help build skillset within organization

Location: Pune / Hyderabad (Even for Chicago / New York)