Data Analytics Engineer -

Summary:

• Analyze, Organize data and Build data systems with multiple data sources
• Working closely with business and market team for the Data analysis.
• Build data systems and pipelines
• Evaluate business needs and objectives
• Implementing data pipeline to ingest and cleanse raw data from various source systems including SaaS,

Cloud based and On-prep databases

• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Implementing functional requirements including incremental loads, data snapshots and identity

resolution

• Optimizing data pipelines to improve performance and cost, while ensuring a high quality of data within

the data lake:

• Monitoring services and jobs for cost and performance, ensuring continual operations of data pipelines,

and fixing of defects.

• Must have coding skills in Spark/Pyspark, Python and SQL
• Must have Knowledge of AWS tools, Glue, Athena and S3
• Must have knowledge on JIRA
• Good knowledge of CI/CD (Github / Github Actions, Terraform)