Data Engineer📣 Job Ad
in Dlytica - Data Analytics And Ai
22 days ago
| Contract Type | Full-time | |
| Workplace type | On-site | |
| Location | Riyadh |
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
Required Qualifications
Preferred Skills
Why Join Us?
Term: 1 Year Contract, possible extension.
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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