Data Engineer – Support role

At Closer (Permanent), in Abu Dhabi, United Arab Emirates

Expires at : 2025-09-03

Remote policy : Full remote

Mutual Respect, Empathy, Innovation and Professional Pride. Do you see yourself within these values?

Founded in 2006 under the mission "To Challenge Complexity", Closer Consulting is a Data Science company specialized in Business Intelligence, Advanced Analytics and Artificial Intelligence.

By developing projects in the most diverse industries – Banking, Telecommunications, Health, Retail, Energy, Insurance or Aviation - we analyze data, transforming it into knowledge for our clients, allowing them to adopt the best decision-making for their respective organizations and businesses.

We are currently seeking a highly skilled and motivated individual to join our Development & Engineering Application Management L2 Support team. The ideal candidate should possess a technical background with 3-5 years of experience in production support and be ITIL certified. It is essential for the candidate to have a solid understanding of incident, problem, and change management processes. In this role, the successful candidate will play a vital part in ensuring the smooth operation of our production environment leveraging their technical and non-technical skills.

Responsibilities

• As a proactive member of the support team maintain the stability of the production environment, effectively managing incidents, problems and changes.
• Promptly identify and resolve incidents and issues by applying exceptional problem-solving skills ensuring minimal disruption to business operations.
• Continuously enhance existing processes and workflows to optimize efficiency and productivity.
• Work seamlessly within the agile environment, contributing to product and solution delivery for our esteemed business users. Actively participate in sprints and contribute to CI / CD practices.
• Effectively communicate with team members, stakeholders and business end users and foster collaboration.
• Uphold knowledge management practices to facilitate knowledge capture and sharing.

Main requirements

• 3-5 years hands-on experience in production support, with a proven track record of successfully managing complex environments.
• ITIL certification showcasing knowledge and expertise in incident, problem and change management processes.
• Bachelor's degree in computer science or related technical discipline, providing a solid foundation for understanding complex technical concepts.
• Excellent problem-solving skills with a proactive attitude towards incident resolution and issue identification.
• Effective communication skills, both written and verbal, enabling effective collaboration and conveyance of ideas and solutions.
• Technical background with a profound understanding of ETL / ELT processes for data transformation.
• Proficiency in utilizing PySpark for distributed data processing and analytics.
• Advanced expertise in SQL for proficient querying and manipulation of data, guaranteeing accurate and reliable results.
• Fundamental proficiency in Python debugging of data transformation issues and scripting automation.
• Comprehensive understanding of REST API, enabling seamless integration between internal and external systems.

Nice to have

• Familiarity with the financial markets, related data and applications, providing a contextual understanding of the industry.
• Proven experience managing SaaS platforms (interactions between SaaS and IaaS)
• Expertise in relevant areas such as data management, data engineering, or financial systems.
• Hands-on experience managing big data platform like Databricks, Palantir or Informatica.
• Understanding of data observability concepts, and support of data observability stack to ensure data integrity, quality, and reliability.
• Skilled in monitoring and analyzing data pipelines to detect anomalies, latency issues, and data loss, ensuring seamless data flow for critical financial operations.
• Collaboration with data engineering teams for data observability and issue resolution.
• Proficiency in managing batches in scheduling tools such as StoneBranch, Control-M, ActiveBatch and Autosys.
• Expertise in workflow automation applications and tools such as PowerAutomate, KNIME Analytics. Altryx, Informatica.
• Experience in managing BI Platforms like PowerBI, MicroStrategy, QlikView, Tableau.
• Strong background in working with agile environments, participating in sprints and adhering to CI / CD practices.
• Certification in Azure Fundamentals, Azure Administrator, Azure DevOps, showcasing proficiency in Cloud technologies and data engineering.
• Understanding Microservice concept and supporting applications using microservices.

We believe we are the ones too, by :

• Providing a Multidisciplinary Team;
• Giving a home office kit, with everything you need to perform remotely;
• Ensuring a career plan alongside with professional growth;
• Providing you with a custom training plan;