Skills required: Pyspark, Python, SQL/ Scala and Unix scripting
Experience in Big Data technologies
Experience in writing SQLs
Having work experience in Control-M/Airflow and DevOps will be advantage
Good to have knowledge on Banking & Money Laundering .
Should have excellent programming scripts, Debugging and analytical thinking.
Experience across all stages of SDLC lifecycle.
Able to write test cases and validate the results
Strong Business acumen and be able to recognise problems and opportunities and provide value added business solutions
Proven track record in designing, developing and implementing Big Data or Data lake solutions
Ability to Coordinate with multiple teams.
Manage communication with stakeholders.
Excellent written and oral communication.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full time