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ETL Modernization Developer

Job not on LinkedIn

đź•’ August 25

🇺🇸 United States – Remote

đź’µ $68 / hour

⏳ Contract/Temporary

🟡 Mid-level

đźź  Senior

đź–Ą Software Engineer

đź‘» Ghost score 24%

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Logo of aKUBE

aKUBE

51 - 200 employees

đź’Ľ Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

aKUBE is a recruitment firm that specializes in connecting top-tier IT professionals with innovative companies. They emphasize a quality-focused approach to recruiting, ensuring a perfect match between candidates and company values. By leveraging advanced technology and a refined process, aKUBE streamlines staffing solutions that align with client timelines while offering services like contract staffing, direct hire placements, and payroll management. Their commitment to performance and client partnerships positions aKUBE as a trusted partner in achieving business success through tailored staffing solutions.

đź“‹ Description

• 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

🎯 Requirements

• 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 (nice to have) • CI/CD and automated ETL testing • PyTest and XML/JSON parsing • 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 • Work authorization: GC and US Citizens Only • JIRA and Agile delivery experience (nice to have) • Knowledge of data governance and cloud security standards (nice to have) • Experience creating operational documentation and delivering technical training (nice to have)

🏖️ Benefits

• W2 employment • Remote work arrangement • 12-month contract duration

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