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ETL Modernization Developer - 1645

aKube Inc

Role overview

Qualifications

  • Strong hands-on experience developing and maintaining IBM DataStage jobs.
  • Proven experience modernizing large-scale ETL/ELT and data warehouse workloads.
  • Experience building Databricks and Spark pipelines in an AWS environment.
  • Advanced programming skills in PySpark, Python, SQL, and Shell scripting.

Responsibilities

  • Assess existing ETL/ELT jobs, databases, and data warehouses for migration readiness.
  • Re-engineer legacy IBM DataStage jobs using Databricks Spark on AWS.
  • Develop, test, and deploy scalable cloud-based data pipelines.
  • Perform parity checks, unit testing, functional testing, UAT, regression testing, and performance testing.

About the company

aKube Inc logo

aKube Inc

Artificial Intelligence & Machine Learning Services

Discover talent that fits you like a gloveAt aKube Inc., we bridge the gap between exceptional professionals and innovative companies.The trifecta for business success - People, Process & Technology

Company details

Company typeSME
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

This is a remote position.

Onsite/Hybrid/Remote: Remote
Duration: 12 months
Rate Range: $68 in W2
Work Authorization: GC and US Citizens Only 


Must Have:
  • IBM DataStage development
  • ETL/ELT migration and modernization
  • Databricks and Apache Spark on AWS
  • PySpark, Python, SQL, and Shell scripting
  • Delta Lake, Unity Catalog, and Photon
  • AWS Glue, Lambda, and Redshift
  • CI/CD and automated ETL testing
  • PyTest and XML/JSON parsing

Responsibilities:
  • Assess existing ETL/ELT jobs, databases, and data warehouses for migration readiness.
  • Re-engineer legacy IBM DataStage jobs using Databricks Spark on AWS.
  • Develop, test, and deploy scalable cloud-based data pipelines.
  • Perform parity checks, unit testing, functional testing, UAT, regression testing, and performance testing.
  • Validate schemas, data quality, pipeline performance, and migration accuracy.
  • Build CI/CD processes for automated development, testing, and deployment.
  • Support migration cutover, production deployment, and hypercare.
  • Coordinate application redeployment and end-to-end testing.
  • Decommission legacy DataStage jobs and related artifacts.
  • Prepare technical documentation and operational readiness materials.
  • Conduct knowledge-transfer and training sessions for engineering and business teams.

Qualifications:
  • Strong hands-on experience developing and maintaining IBM DataStage jobs.
  • Proven experience modernizing large-scale ETL/ELT and data warehouse workloads.
  • Experience building Databricks and Spark pipelines in an AWS environment.
  • Advanced programming skills in PySpark, Python, SQL, and Shell scripting.
  • Experience with Delta Lake, Unity Catalog, and Databricks Photon.
  • Experience with GitLab or Azure DevOps for CI/CD.
  • Knowledge of automated testing frameworks and ETL validation methods.
  • Experience supporting production cutovers, stabilization, and application teams.

Nice to Have:
  • Experience with AWS Glue, Lambda, and Redshift.
  • Experience with JIRA and Agile delivery.
  • Knowledge of data governance and cloud security standards.
  • Experience creating operational documentation and delivering technical training.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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