Senior Analyst

hace 1 semana

Bogota, Colombia Evalueserve A tiempo completo

**Elevate Your Impact Through Innovation and Learning**

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.

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

**Important responsibilities in this role will include**
- 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.

**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.
- 3+, 5+ or 7+ years of relevant experience working as a Data Engineer in On-prem or Cloud environments. Experience in Data -Management, Data Analysis, or Data Science will also be considered.
- Proficient in SQL with a strong ability to query and analyze data effectively.
- Hands-on experience in scripting languages such as Python, Scala, or Java for data manipulation and analysis.
- Solid understanding of relational databases and their principles.
- Knowledge of data modeling and Data Warehouse concepts.
- Proven experience in developing ETL/ELT processes or data pipelines, demonstrating a solid knowledge of data integration and transformation

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