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.
Skills Required - 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)
If anyone interested, please share your updated resume
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