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Data Engineer – Support role

Data Engineer – Support role

CloserBelo Horizonte, BR
Há 24 dias
Descrição da vaga

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.
  • Benefits & Perks

    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;
  • Helping you reach happiness.
  • Oh… and by the way, we also have :

  • Several challenging complex projects;
  • Stimulating teams and leaders;
  • World-class Clients and Partners.