Data Engineer📣 Job Ad

Job Summary: The Informatica Engineer will be responsible for designing, developing, and implementing ETL processes using Informatica tools within the telecommunications sector. This role involves ensuring data quality, integrity, and efficient data flow across systems.

Key Responsibilities:

• Design, develop, and implement ETL processes using Informatica PowerCenter and Informatica Data Engineering.
• Maintain and optimize existing ETL workflows and mappings.
• Ensure data quality and integrity across all ETL processes.
• Collaborate with data analysts and other stakeholders to understand data requirements.
• Troubleshoot and resolve data-related issues.
• Manage and integrate geographical data using Esri and ArcGIS Data Store.
• Perform data modeling and control quality of data and follow the best practices in data management.
• Perform realtime ingestion using CDC from different data stores including MS SQL and MariaDB.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 3+ years of experience with Informatica PowerCenter or similar ETL tools.
• Experience with SQL and relational databases.
• Experience in Informatica Cloud or on Premise versions.

Skills:

• Strong understanding of ETL concepts and best practices, CDC, and Spark.
• Proficiency in Informatica PowerCenter, Informatica Data Engineering, and SQL.
• Knowledge of Esri and ArcGIS Data Store.
• Excellent problem-solving and analytical skills.
• Experience with Denodo is preferred.

Preferred Qualifications:

• Experience in data warehousing and big data technologies.
• Knowledge of data governance and quality management.

Join our team as a Data Engineer!
We are seeking a talented Data Engineer to design, build, and maintain robust data pipelines that transform and load various data sources into unified data sets for analysis. In this role, you will collaborate closely with data scientists and analysts to provide reliable data solutions tailored to meet their specific needs.

Key Responsibilities:

• Design and implement data pipelines ensuring high-quality and integrity.
• Collaborate with teams to develop data solutions.
• Optimize performance of data storage and processing systems.
• Create and maintain documentation of data pipelines and processing techniques.
• Stay updated with industry best practices and emerging technologies.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in Data Engineering or a similar role.
• Proficiency in Python or Java, and experience with ETL tools.
• Strong SQL skills with experience in relational and NoSQL databases.
• Familiarity with cloud services (AWS, Azure) and big data technologies (Hadoop).
• Excellent problem-solving skills and teamwork capability.

We encourage all applicants who meet the qualifications to apply and become part of our exciting team.

Join Mozn as a Data Engineer
At Mozn, we are at the forefront of revolutionizing the AI landscape in Saudi Arabia. With a commitment to supporting the digital ecosystem and realizing Vision 2030, we are looking for a talented Data Engineer to enhance our team.

Role Overview
As a Data Engineer, you will be vital in developing our innovative Text-to-SQL product, 'Talk to Your Data'. Your responsibilities will include:

• Designing, building, and optimizing data pipelines.
• Collaborating with machine learning engineers to ensure seamless data integration.
• Maintaining data quality and enhancing system performance.
• Implementing validation mechanisms and monitoring pipeline performance.

Qualifications
To thrive in this role, you should possess:

• 35 years of experience in data engineering or similar fields.
• Strong SQL skills and experience with various relational databases.
• Proficiency in Python and familiarity with ETL tools.
• Excellent problem-solving and communication capabilities.

Why Choose Mozn?
Joining Mozn means being part of an exciting journey. We offer:

• Competitive compensation and top-tier health insurance.
• A dynamic workplace culture that encourages innovation.
• Opportunities to work alongside industry experts in AI.

If you are ready to make a significant impact in the field of AI and advance your career, we encourage you to apply today.