Database Developer

1 week ago


Atlanta, Georgia, United States Insight Global Full time

This tech giant is on the lookout for talented data engineers to join their data ingestion team for the establishment of their new Integrated Data Warehouse.

In this position, you will review and analyze user stories, High level Solution Designs, source systems, Source to Target Mappings, and then write code to ingest data into different database platforms and services.

Once data is ingested, your responsibility will be to ensure data accuracy according to requirements, then create scripts to load the data from the DB/Data Lakes into the staging area.

Following that, you will design scripts to extract, transform, and load the data into the core tables based on the logic provided in the source to target mapping documents. You will then create scripts to import data from the core table.

Afterward, you will generate QA test scenarios, conduct QA testing, including functional, End to End, and data validation testing.

You will supervise production deployments and support the AppOps team during deployment, data loads, troubleshooting, and regular production break fixes activities, as necessary.

As part of this DevOps role, you will engage in daily standups, share project status updates with the DevOps Track lead and Scrum Master, as well as communicate with management and stakeholders.

We pride ourselves on fostering diverse and inclusive work environments where individuals can bring their authentic selves every day.

We are an equal opportunity/affirmative action employer which values the contribution of every individual.

Candidates meeting the criteria will be considered for employment regardless of their background.

If you require assistance or reasonable accommodation due to a disability during the application or recruiting process, please notify us.

To learn more about how we handle your private information, please review Insight Global's Workforce Privacy Policy.



Required Skills & Experience
  • Experience with ETL
  • Azure Databricks + ADF
  • Spark, Scala, or Python
  • SQL
  • Enterprise Level Experience
  • Requirement Analysis - Review and Analyze user stories
  • Python for Automation
  • Shell Scripting
  • Review HLSD with solution architects
  • Analyzing source systems, Data modelling, and source to target mappings (S2TM) and creating relevant artifacts as needed
  • Data Ingestion and Processing - Analyze various sources and develop code to ingest data into Hadoop Data Lake
  • Data Cleansing - Ensure accuracy and completeness of data and clean up data if necessary

Dispatch / ExportDevelop scripts to load data from Hadoop data lake into the destination staging areaCore Loads - Develop scripts to extract, transform and load (ETL) data into the Core tables following the logic in the source to target mapping (S2TM) documentImport - Develop scripts to import data from core tables into Hadoop Data LakeDevelop QA Test scenarios/cases as needed, and conduct QA testing including functional, End to End, and data validation testingProduction deploymentSupport AppOps team during deployment, data loads, and troubleshooting; also during regular Production Break Fix Activities, as requiredParticipate in daily standups, share regular project status with DevOps Track Lead and/or DevOps Scrum Master, T-Mobile Project Manager, T-Mobile Manager, and/or other stakeholders when necessaryCICD Support as requiredAny other relevant analysis, design, development, and application support activities assigned to team members from time to time
Nice to Have Skills & Experience

  • Experience or strong understanding with Snowflake (DB)

Benefits for this role will commence on the 31st day of hire and include medical, dental, and vision insurance, HSA, FSA, DCFSA accounts, and access to a 401k retirement account with employer matching.

Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by law.


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