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ETL Developer - DataStage, PL​/SQL, Shell Scripting

Job in Calgary, Alberta, D3J, Canada
Listing for: Astra North Infoteck Inc.
Full Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    Data Engineer, Database Administrator, Data Warehousing, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Description
Job Title: ETL Developer

Experience:

6–8 years

Location:

Calgary (Hybrid)

Primary Skill: PL/SQL

Key Responsibilities
  • Design, develop, and maintain ETL processes using industry-standard ETL tools (Data Stage preferred).
  • Develop and optimize PL/SQL code for data extraction, transformation, and loading.
  • Work extensively with MS SQL Server (preferred) or Oracle databases for data processing and validation.
  • Perform data analysis, profiling, and troubleshooting to ensure data accuracy and integrity.
  • Develop and maintain shell scripts to support ETL workflows and automation.
  • Use enterprise job scheduling tools such as Control‑M, Stone Branch, or similar to manage batch processes.
  • Monitor ETL jobs, perform root‑cause analysis, and resolve production issues.
  • Collaborate with business analysts, data architects, and downstream teams to understand data requirements.
  • Ensure adherence to data quality, performance, and security standards
    .
  • Participate in code reviews, testing, and deployment activities.
Required

Skills & Qualifications
  • 6–8 years of experience in ETL development and data integration
    .
  • Strong expertise in PL/SQL
    .
  • Hands‑on experience with Data Stage (preferred) or other ETL tools.
  • Strong working knowledge of MS SQL Server (preferred) or Oracle.
  • Basic to intermediate experience in Shell scripting
    .
  • Experience with job scheduling tools such as Control-M or Stone Branch.
  • Strong analytical and problem‑solving skills
    .
Nice to Have
  • Experience working in large‑scale data environments.
  • Exposure to performance tuning and optimization.
  • Experience supporting production data pipelines.
Requirements

Experience (Years): 8‑10

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