The company is an ADX-listed public company with a major shareholder and is the region’s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector and create business and positive societal impact. The company excels at all-source data interpretation to support insight-driven decision-making, shaping policy and creating safer, healthier, happier, and more sustainable societies.
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The company is looking for an astute, proficient, and qualified Senior Data Engineer to assess, analyze, and work with data concepts, use-cases, and complex new data sources to provide business insights to customers while supporting the implementation and integration of these data sources into the company's platform.
Responsibilities:
- Solve challenging problems using Python coding skills.
- Design, build, and launch new data extraction, transformation, and loading processes in production.
- Engage in web crawling, data cleaning, data annotation, data ingestion, and data processing.
- Read and collate complex data sets.
- Create and maintain data pipelines.
- Focus on process improvement to drive efficiency and productivity within the team.
- Use Python, SQL, Elastic Search, Shell, etc., to build infrastructure required for optimal data extraction, transformation, and loading.
- Provide insights into key business performance metrics by building analytical tools that utilize the data pipeline.
- Support the wider business with their data needs on an ad hoc basis.
- Comply with QHSE (Quality, Health, Safety, and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance policies and procedures.
Qualifications:
- Bachelor's degree in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences.
- 6+ years of programming experience with solid coding skills in Python, Shell, and Java.
- Strong corporate capacity and good communication skills.
- Experience with web crawling and data cleaning.
- Familiarity with solution architecture, data ingestion, query optimization, ETL, ELT, AWS (including EC2, S3, SQS, Lambda), Elastic Search, Redshift, and CI/CD frameworks.
- Knowledge of data platform concepts such as data lakes, data warehouses, ETL, big data processing, and real-time processing architecture.
- Proficiency in PostgreSQL, structured and unstructured data, SQL, and NoSQL databases.
- Knowledge of best practices in optimizing columnar and distributed data processing systems.
- Experience in designing and implementing dimensional modeling.
- Familiarity with machine learning and data mining techniques in areas such as statistical modeling, text mining, and information retrieval.
Language Requirements:
- Proficient in English; additional language skills are a plus.
Location: United Arab Emirates
Work Conditions: On-site, Full-time
