Data Engineer

hace 6 meses

Bogota, Colombia Evalueserve A tiempo completo

**Elevate Your Impact Through Innovation and Learning**

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 25% of Fortune 500 companies. Clients include Amazon, Deutsche Bank, Johnson & Johnson, McDonald's, Microsoft, Morgan Stanley, Nestlé, Novo Nordisk, and Procter & Gamble.

We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work® in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.

Join Evalueserve and become part of our mission to drive impactful outcomes through innovation, collaboration, and continuous learning. Together, we can make a difference and elevate our impact.

Watch this video to understand what it means to Elevate Your Impact at Evalueserve

**What you will be doing at Evalueserve**:
Department: Data Analytics

Job Title: Data Engineer

Location: Colombia

Nature of Job: Indefinite contract / Hybrid schedule

**Important responsibilities in this role will include**:

- Self-drive to learn and develop new skills on leading platforms.
- Implement systems and processes for the movement, enhancement, integration, quality, and availability of both structured and unstructured data.
- Communicate directly with senior stakeholders on projects and show innovation and problem-solving skills in all elements of work.
- Work with global clients and project teams across geographies and travel to client locations as and when required.
- Implement data solutions in the cloud or hybrid environments.
- Implement and maintain data models for the proper operation of cloud infrastructures.
- Ensure data integrity through rigorous attention to detail and validation, including adherence to all regulatory, privacy compliance, and security procedures.
- Recognize potential issues and risks during project implementation and suggest realistic mitigation strategies.
- Document process, codes, and models.
- Lead/guide/mentor data engineer teams when needed.

**Skills we’re looking for**:

- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field is preferred.
- Intermediate verbal and written communication skills in English.
- 5+ years of relevant experience working as a Data Engineer in On-prem or Cloud environments.
- Relevant experience in data solutions with any of these cloud service providers: GCP, Azure, AWS.
- Proficiency in Python programming language.
- Proficiency in SQL as a programming language.
- Good understanding of data warehouse.
- Proficiency in relational and dimensional data modeling.
- Proficiency in using any big data platform like DataBricks.
- Good understanding of data cloud architecture, building data pipelines (e.g. ETL, ELT), and orchestration.
- Business-facing experience.
- Experience translating business requirements to technical requirements.
- Ability to handle multiple tasks across projects and document analytical processes for future reference.
- Critical thinking abilities, including evaluating data and cross-checking through multiple iterations to confirm accuracy throughout analytical process; understanding and following logical processes to provide results.
- Great attention to detail, Proactive approach, and ability to work independently with mínimal guidance.

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