Data Engineer (Informatica & ETL/ELT)

Data Engineer (Informatica & ETL/ELT)

Location: Riyadh, KSA (Onsite)

Required Date : 25 th October 2026

6 Months Contract

Role Summary

We are seeking a skilled and detail-oriented Data Engineer to design, build, and optimize robust data pipelines and integration workflows. In this role, you will be responsible for transforming raw data into structured, production-ready assets using Informatica and modern ETL/ELT methodologies. You will collaborate closely with data architects, platform admins, and analytics teams to ensure reliable, high-performance data delivery across the organization.

Key Responsibilities

• Data Pipeline Development: Design, build, test, and maintain efficient ETL/ELT data pipelines using Informatica to extract data from varied sources and load into targets.
• Data Transformation & Modeling: Implement complex business logic, transformations, and data quality checks while adhering to scalable data modeling principles (Dimensional, Data Vault, or Star/Snowflake schemas).
• Performance Tuning: Optimize SQL queries, database indexes, and Informatica mappings/workflows to maintain high performance across large volume datasets.
• Pipeline Monitoring & Support: Monitor batch and real-time processing jobs, debug pipeline failures, resolve data discrepancies, and optimize resource usage.
• Data Governance & Documentation: Maintain detailed data lineage, technical specifications, data dictionaries, and source-to-target mapping (STM) documentation.
• Collaboration & Integration: Partner with platform admins for deployment and infrastructure optimization, and work with business analysts to translate business requirements into technical solutions.

Required Technical Skills & Experience1.1.1         Core Technical Stack

• Informatica Expertise: Strong hands-on experience with Informatica (PowerCenter or IICS - Cloud Data Integration), including mapping design, workflow development, session tuning, and parameter files.
• ETL/ELT Architecture: Deep understanding of ETL vs. ELT paradigms, incremental loading techniques, Change Data Capture (CDC), and slow-changing dimensions (SCD Types 1, 2, and 3).
• Advanced SQL & Databases: Expert-level SQL skills for data extraction, manipulation, and query optimization across relational databases (e.g., PostgreSQL, Oracle, SQL Server, Snowflake, or Teradata).
• Data Modeling: Proven experience designing target schemas, data marts, and working with both relational and analytical data warehouses.

1.1.2         Tooling & Automation

• Scripting: Proficiency in Bash or Python for data processing, job orchestration, and automation.
• Data Sources & Formats: Experience integrating structured, semi-structured, and unstructured data formats (JSON, Parquet, CSV, XML, REST APIs).
• Scheduling & Version Control: Hands-on experience with enterprise schedulers (Automic, Control-M, Airflow) and version control tools (Git).

1.1.3         Experience Level

• 5+ years of dedicated experience in data engineering, ETL development, or data integration.
• Strong track record of translating complex business rules into reliable, production-grade data pipelines.
• Familiarity with Agile/Scrum development methodologies.

Preferred Qualifications

• Informatica certifications (e.g., Informatica Certified Professional in PowerCenter or IICS).
• Experience with cloud data platforms (Snowflake, Databricks, BigQuery, AWS Redshift).
• Knowledge of streaming or real-time data pipelines (Kafka, Spark Streaming).