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Data Engineer

Cognizant Riyadh, Saudi Arabia Posted: 29 May 2024


  • Salary unspecified
  • Zero income tax location


  • Office Only


  • Experience: Entry Level
  • English: Professional
  • Arabic: Preferred


About the job:


Identifying and extracting data from various sources (such as databases, APIs, logs, files, and external systems). Ensuring data quality during extraction and handling any anomalies. Transforming raw data into a structured format suitable for analysis and reporting. Cleaning, aggregating, and enriching data using ETL tools and techniques. Implementing business rules and data validation logic. Loading processed data into data warehouses, data lakes, or other storage systems. Designing and maintaining ETL pipelines to move data efficiently. Collaborating with database administrators to optimize data loading processes. Designing, developing, and maintaining ETL workflows and pipelines. Writing efficient ETL code (Informatica PowerCenter & Informatica BDM) to automate data movement. Ensuring scalability, reliability, and performance of ETL processes. Profiling and tuning ETL processes for optimal performance. Identifying bottlenecks and addressing them to improve data processing speed. Monitoring ETL jobs, identifying failures, and resolving issues promptly. Implementing error handling and logging mechanisms. Communicating effectively with cross-functional teams to understand data needs and ensure data consistency and accuracy.


Strong ETL Tool Proficiency: Experience with ETL tools such as Informatica PowerCenter, Informatica BDM, and Apache NiFi. Database Knowledge: Proficiency in SQL and understanding of relational databases (e.g., PostgreSQL, MySQL, Oracle). Data Warehousing: Familiarity with data warehousing concepts and technologies. Big Data Technologies: Exposure to big data platforms (e.g., Hadoop, Spark) and NoSQL databases (e.g., Hbase, MongoDB). Data Governance and Security: Understanding of data governance practices and security protocols. Problem-Solving Abilities: Ability to troubleshoot complex data issues and optimize ETL processes. Excellent communication skills for technical and non-technical stakeholders. Experience in performance tuning for data queries. Understanding of data modelling and design standards, tools, and best practices. Analytical mind-set and problem-solving skills for proactive project support.

Data Engineer, ETL Developer, Data Warehouse Specialist


The candidate should possess proficient English fluency, and Arabic is a plus.

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About Cognizant

Cognizant is a global leader in business and technology services, helping clients bring the future of work to life. With over 347,700 employees worldwide, we specialize in transforming experiences, reimagining processes, and modernizing technology across various industries.

Benefits at Cognizant

    • Innovative career tracks and skills training.
    • Comprehensive health plans for you and your loved ones.
    • Opportunities to give back and improve communities.