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Contract TypeContract TypeFull-time
Workplace typeWorkplace typeOn-site
LocationLocationRiyadh
About the Role
We are seeking a highly experienced Senior Data Engineer to join our growing Data & Analytics team. This role is ideal for someone with deep expertise in Informatica and a strong hands-on background in Big Data platforms (Cloudera), real-time streaming technologies (Kafka/Confluent), and data processing frameworks (Spark, Python).

Key Responsibilities
  • Design, develop, and optimize ETL/ELT pipelines using Informatica Data Engineering (DE) and related tools.
  • Build and manage real-time streaming data solutions using Apache Kafka and Confluent.
  • Develop distributed data processing applications on Cloudera using Apache Spark (Python or Scala).
  • Automate and orchestrate workflows using Apache NiFi or similar tools.
  • Work collaboratively with data architects, analysts, and business stakeholders to translate data requirements into robust technical solutions.
  • Ensure adherence to data quality, security, and governance standards across all data pipelines.
  • Troubleshoot performance bottlenecks and integration issues in data workflows.
  • Provide technical leadership, code reviews, and mentorship to junior engineers.
  • Maintain comprehensive documentation including design specifications, data flows, and operational procedures.
  • Stay up to date with industry trends in big data, streaming, and Informatica technologies, and introduce best practices into the team.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
  • 7+ years of hands-on experience in data engineering, with strong proficiency in Informatica Data Engineering (DE) development and administration.
  • Deep knowledge of ETL design, data modeling, and large-scale data warehousing concepts.
  • Proficient in SQL and Python for data transformation and scripting.
  • Strong experience with Apache Kafka and Confluent Platform for building real-time data streaming solutions.
  • Solid understanding of Apache Spark for big data processing.
  • Practical experience working on the Cloudera Big Data platform (HDFS, Hive, Impala, etc.).
  • Proven ability to optimize performance for ETL and streaming pipelines.
  • Excellent analytical and problem-solving skills with a focus on scalability and maintainability.
  • Strong verbal and written communication skills with the ability to work across technical and non-technical teams.
  • Informatica certification is highly desirable.

Preferred Skills
  • Experience with Informatica Cloud, Informatica Data Quality (IDQ), or Master Data Management (MDM).
  • Familiarity with SingleStore DB or other in-memory databases.
  • Exposure to DevOps tools and practices (*, Git, Jenkins, CI/CD pipelines).
  • Experience working with cloud-based big data platforms (AWS, Azure, or GCP).
  • Background in Agile methodologies and experience working in cross-functional teams.

Why Join Us?
  • Work on cutting-edge big data and real-time analytics projects.
  • Collaborate with industry experts and forward-thinking teams.
  • Competitive compensation and benefits package.
  • Opportunity to lead and mentor in a high-impact role.

Term: 1 Year Contract, possible extension.

Requirements

  • Requires 2-5 Years experience

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