Data Support Engineer

Responsibilities:

 Implement monitoring and alerting solutions to provide insight into overall platform

health.

 As an integral part of the Data Platform team, onboard various data sources by creating

ETL pipelines.

 Provide resolutions and/ or Workaround to data pipeline-related queries/issues as

appropriate

 Ensure that Ingestion pipelines that empower the Data Lake and Data Warehouses are

up and running.

 Assist the End-users of the Data Platform with Query debugging and optimization.

 Collaborate with different teams in order to understand/resolve data availability and

consistency issues.

Requirements:

 2+ years of experience in Technical/ Application Support for ETL applications.

 Ability to read and write SQL - and understanding of one of the Relational Databases such as

MySQL, Oracle, Postgres, SQL Server.

 Good knowledge of python programming knowledge

 Comfortable with Linux with the ability to write small scripts in Bash/Python. Ability to

grapple with log files and Unix processes.

 Prior experience in working on cloud services, preferably AWS.

 Ability to learn complex new things quickly

 Occasional involvement in support over weekends/ early mornings/ late nights.

 Be a team player with an ability to work under pressure with good time management

skills

 Excellent written and verbal communication skills

 Troubleshooting skills and doing root cause analysis RCA

 Prior experience in big data technologies like Spark, Hadoop, Kafka, Airflow, etc .. is

preferred