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Lead DataStage Integration Support Engineer

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Onsite

Lead DataStage Integration Support Engineer

Falcon Smart IT (FalconSmartIT)

Lead DataStage Integration Support Engineer

Skills

SQL QueriesPythonCompliance

1 month ago

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Important information


Contract type:

Permanent

Location:

Culver City, CA, USA

Work mode:

Onsite

Published on:

10 September 2026

What they need


Job Title: Lead DataStage Integration Support Engineer

Location: Culver City, CA (4days onsite/ week)

Job Type: Contract

Job Description :

We are seeking a skilled Lead ETL DataStage Consultant with expertise in development, administration, production support, and maintenance.

The ideal candidate will have a strong background in ETL processes, along with proficiency in Python and SQL scripting. Experience with Control-M, Managed File Transfer (MFT), and IBM Gentran is a plus.

This role is crucial for ensuring the efficiency and reliability of our data integration processes.

Key Responsibilities:

  • Understand requirements and implement ETL processes using DataStage to extract, transform, and load data from various sources.
  • Collaborate with business analysts and stakeholders to gather requirements and translate them into technical specifications.
  • Write and optimize SQL queries for data manipulation and retrieval.
  • Manage and configure DataStage environments, ensuring optimal performance and reliability.
  • Monitor system performance and troubleshoot issues related to ETL processes.
  • Implement security best practices for data handling and integration.
  • Provide support for production processes, troubleshoot and resolve issues as they arise.
  • Monitor job logs and performance metrics to proactively identify and address potential issues. Implement incident management processes to ensure timely resolution of production incidents.
  • Plan and execute regular maintenance activities, including system upgrades and patches.
  • Ensure compliance with organizational policies and industry standards during maintenance activities.
  • Document processes, procedures, and configurations for knowledge sharing.
  • Utilize Python for scripting tasks related to data processing and automation. Develop and maintain SQL scripts for data validation and transformation.
  • Work closely with business & technical teams & manage application support & track KPI/SLA.

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