Essential Skills & Experience:
Demonstrable experience in:- Data Engineering Support-Production support on AWS stack – Spark, Glue, Redshift, Airflow, S3 and related ETL-DW data services.
- Strong AWS -ETL job process monitoring-tracking-production issue-fixing experience on data process and BI reporting.
- Understanding of Big Data , Hadoop.BO report, Power BI report
- Very good in SQL and database/data understanding
- Comfortable in production deployment ,job scheduling, batch monitoring ,usage tracking etc.
- Comfortable to work with production support rotational shifts (no night shift-but week-offs are rotational)
- Good understanding of tech stack , ETL,DW BI, BO -Qlik-Power BI , Cloud Platforms, specifically AWS, and components EMR, S3, SQS, Step function Lambda, Java.
Desirable Skills & Experience:
Strong Production Support experience on AWS Cloud on data services support.An understanding of the concepts and strategies of a Data Lake in the Cloud.Knowledge in multiple programming languages including Spark,Java, Scala, Python and Shell Scripting.Experience of building unit tests, integration tests, system tests and acceptance tests.Experience in data modelling.Experience of ETL techniques and tools.Experience : 7+ years (with minimum 5 years Production support AWS data Engg hands on experience)
Working knowledge of the SDLC.Should be able to work closely within an onshore and offshore model.Being part of an Agile delivery team (i.e. Scrum/Jira).Strong communication and inter-personal skills
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.