Data Engineer; Informatica & ETL/ELT
Listed on 2026-10-25
-
Software Development
Data Engineering
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.
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.
Core Technical Stack
- Informatica Expertise: Strong hands‑on experience with Informatica (Power Center 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.
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).
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.
- Informatica certifications (e.g., Informatica Certified Professional in Power Center or IICS).
- Experience with cloud data platforms (Snowflake, Databricks, Big Query, AWS Redshift).
- Knowledge of streaming or real-time data pipelines (Kafka, Spark Streaming).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).