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Senior DataStage Developer

Remote • Posted 2 hours ago • Updated 2 hours ago

Full Time

Remote

Fitment

Dice Job Match Score™

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Job Details

Skills

Reverse Engineering
Mapping
Translation
Automated Testing
Datastage
Data Validation
Scripting
Regression Testing
KPI
Migration
Extract
Transform
Load
IBM InfoSphere DataStage
Meta-data Management
Data Quality
Testing
ETL QA
SQL
Python
XML
JSON
Databricks
PySpark
Cloud Computing
Data Warehouse

Summary

Job Title: Senior DataStage Developer

Location: Remote

Objective

Drive the end-to-end rationalization, reverse-engineering, and automated validation of legacy DataStage environments migrating to modern Databricks architectures. This role is critical to eliminating legacy code redundancies, mapping complex data lineage, and implementing automated testing frameworks to guarantee zero data loss and business disruption during system cutovers.

Key Responsibilities

Legacy Rationalization: Analyze DataStage .dsx/.isx exports and metadata to map end-to-end data lineage.
Code Elimination: Identify and isolate "dead jobs", redundant code, and duplicate logic to streamline migration waves.
Technical Translation: Provide functional logic explanations of complex parallel/server jobs to the PySpark development team.
Test Automation: Deploy automated test frameworks to execute large-scale data reconciliation between DataStage and Databricks.
Data Validation: Build automated scripts to validate data schemas, row counts, and complex transformations across dual-run environments.
Regression Testing: Execute regression testing on newly refactored PySpark code against historical legacy data.
Migration Sign-off: Document validation execution KPIs and formally sign off on data accuracy before live migration cutovers.

Technical Skills & Competencies

Legacy ETL: IBM InfoSphere DataStage (Parallel/Server jobs, Sequences) and operational metadata analysis.
Data Quality & Testing: Automated ETL Testing tools, PyTest, and Great Expectations.
Languages & Querying: Advanced SQL, Python, and XML/JSON parsing.
Target Platforms: Familiarity with Databricks, PySpark, and modern cloud data warehouses.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10236892
Position Id: OOJ - 5531-4532-1786745461
Posted 2 hours ago

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