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ETL Developer

Job in Muscat, Oman
Listing for: Software Systems LLC
Full Time position
Listed on 2026-08-08
Job specializations:
  • Software Development
    Data Engineering, SQL Developer
Salary/Wage Range or Industry Benchmark: 21000 - 35000 OMR Yearly OMR 21000.00 35000.00 YEAR
Job Description & How to Apply Below

We are seeking a highly experienced and strategic ETL Developer with 5+ years of data engineering experience to join our growing data warehousing team.

Key Responsibilities 1. ETL Architecture & Pipeline Development
  • Design, build, and maintain complex end-to-end ETL mappings, workflows, and sessions using Informatica Power Center.
  • Develop, optimize, and schedule Python automation scripts for data ingestion, processing, custom transformations, and system monitoring.
  • Architect and scale data integration pipelines within the Hadoop ecosystem (Hive, HDFS, Spark, or Map Reduce) to handle massive datasets.
2. Performance Tuning & Optimization
  • Analyze and tune long-running Informatica workflows, complex SQL overrides, memory allocations, and session bottlenecks.
  • Implement performance tuning strategies in relational databases (especially Teradata macro/stored procedures, volatile tables, primary indexes, and join strategies).
  • Optimize big data storage formats and execution engine resources within Hadoop to maximize throughput.
Required

Skills & Qualifications Technical Requirements
  • ETL Expertise: 5+ years of core, hands‑on experience with Informatica Power Center (including advanced transformations, XML parsing, and SQ overrides).
  • Programming:
    Strong proficiency in Python for data engineering tasks, alongside advanced shell scripting (Unix/Linux) and SQL is a must.
  • Big Data Ecosystem: 3+ years of experience working with Hadoop platforms (HDFS, Hive, Impala, Sqoop).
  • Relational Databases:
    Advanced SQL skills. Teradata expertise (including BTEQ, Fast Load, Multi Load, TPT, and Volatile Tables) is an added advantage.
Experience & Education
  • Total

    Experience:

    Strictly 5+ years in Data Engineering, Data Warehousing, or ETL Development.
  • Domain Knowledge:
    Prior experience in the Telecom Domain is highly preferred / good to have.
  • Education:

    Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
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