What you’ll do:

• Contribute to Data Warehouse models and curation
• Support the evolution of data environment to deliver high-quality data, speed, and availability
• Assist in the curation of source-system data to deliver trusted data sets
• Provide input and involvement on data cataloging and data management efforts
• Be involved in production ELT (Extract, Load, Transform)performance tuning and environment-level resource consumption and management
• Drive the migration of POC pipelines to production data processes
• Design , Build, Test and Maintain efficient and reliable data pipelines.
  

What makes you a great fit:

• A minimum of 6+ Years of IT Experience in computer science, engineering, data science or similar fields
• Experience in SQL development on RDBMS (Snowflake and Postgres preferred)
• Familiarity with Database design and data warehouse concepts
• Experience with streaming & real-time data processing using a technology like Spark, Kafka, ksqlDB, or Databricks, etc.
• Experience with dimensional data modeling/data workflow diagrams (conceptual, logical, and physical)
• Knowledge of software development lifecycle and source control (github, gitlab, TeamCity, etc.)
• Solid understanding of ELT (Extract, Load, Transform) pipeline development and orchestration (dbt, airflow, python, Fivetran, Stitch, etc.) and how to deploy them
• Some knowledge of cloud services such as AWS DynamoDB, Glue, Lambda, Step Functions, S3, CloudFormation or similar Azure/ GCP services
• Strong programming skills in Python, Scala or SQL (Python or Scala is added advantage)
• Experience in any Data streaming Tool like Spark, Data bricks tool is preferred.
• Capability to manipulate, understand, and analyze complex, high-volume data
• Understanding of how and why data pipelines are built