Required Skills: Apache Spark, Big Data Hadoop Ecosystem, Python, SparkSQL
Job Description
Exp. 7-11 Years needed.
Must have good technical experience and should be able to provide technical solutions for multiple modules in parallel on need basis and bring the task to closure on time
Unix SQL and Shell Scripting experience is a must have.
Expertise in Designing and developing scalable Apache spark ETL based Data processing pipelines.
Strong command line knowledge in UNIX Linux with Shell scripting using Bash Korn shell or Perl and File processing using awk scripts.
Expertise in SQL querying and complex joins.
Implementing comprehensive Spark based Data validation frameworks transforming large volumes of Financial data within the Project lifecycle
Expertise with complex Data workflows with Apache Airflow managing task dependencies SLAs etc to ensure timely data delivery and corresponding automated validation controls
Strong Analytical skills and expertise on Spark SQL for Data analysis and validation ensuring the delivery of clean query ready datasets for business consumption
Expertise in Data quality checks and monitoring
Quality Engineering team where 70percent of effort will be for developing automation frameworks for testing Remaining 30percent effort will be on manual testing until its fully automated
Hands-on with Automation Framework Design for ETL and API
SME in Data Analysis Database testing Messaging queues