Job Description

Job Description

• Prior experience supporting Data Governance initiatives desired: Data Quality, Metadata Management (Data Cataloging, Data Lineage), Master Data Management, Data Security
• Experience in building high quality applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
• Proficiency in other software engineering languages and/or methodologies
• Strong proficiency in Python, SQL, Jupyter/Colab notebooks
• Provide ongoing support for the existing ETL processes, procedures, as well as the ability to design, code and deploy new ETL pipelines to support application and business needs.
• Develop an effective working relationship with Data Analysts, Data Architects, Database Administrators, and others in designing, developing, and implementing robust data management solutions.
• Strong understanding of SQL/NoSQL unstructured and structured data.
• Demonstrate the ability to translate business rules into ETL code while adhering to best ETL development and design practices.
• Demonstrate proficiency in SQL language, as well as working knowledge of common transformation methodologies, techniques, and tools.

• 7-15 years’ experience in data science or data analytics.
• Experience in reviewing and building dimensional data models to improve accessibility, efficiency and quality of data
• Experience in leading, hiring, developing, and building data engineering team and providing them technical direction.
• Should be proficient in writing Advanced SQLs, expertise in performance tuning of SQLs.
• Demonstrate good understanding of development processes and agile methodologies.
• Demonstrate honesty, integrity, and professionalism at all times
• Excellent communication, customer service, and problem-solving skills
• Experience with cloud platforms, preferably Azure/AWS, and familiarity with GCP.

Location: Dubai (UAE)

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