Our client is a rapidly growing, automation-led service provider specializing in IT, business process outsourcing (BPO), and consulting services. With a strong focus on digital transformation, cloud solutions, and AI-driven automation, they help businesses optimize operations and enhance customer experiences. Backed by a global workforce of over 32,000 employees, our client fosters a culture of innovation, collaboration, and continuous learning, making it an exciting environment for professionals looking to advance their careers.
Committed to excellence, our client serves 31 Fortune 500 companies across industries such as financial services, healthcare, and manufacturing. Their approach is driven by the Automate Everything, Cloudify Everything, and Transform Customer Experiences strategy, ensuring they stay ahead in an evolving digital landscape.
As a company that values growth and professional development, our client offers global career opportunities, a dynamic work environment, and exposure to high-impact projects. With 54 offices worldwide and a presence in 39 delivery centers across 28 countries, employees benefit from an international network of expertise and innovation. Their commitment to a 'customer success, first and always' philosophy ensures a rewarding and forward-thinking workplace for driven professionals.
We are currently searching for a Python Data Engineer:
Responsibilities:
- Design, build, and optimize scalable data pipelinesfor ETL processes.
- Develop and maintain data integration workflowsusingPythonandSQL.
- Collaborate with data analysts and stakeholders totranslate business requirements into technical solutions.
- Ensure data quality, reliability, and performanceacross databases and systems.
- Document data engineering processes, architectures, and best practices.
Requirements:
- 5–8 years of experienceindata engineeringor related roles.
- Expertise in Pythonfor data processing and automation.
- Strong SQL skillsfor complex querying and database management.
- Proven experience withETL developmentand data pipeline optimization.
- Familiarity with cloud-based data platforms (e.g.,Snowflakeis a plus).
Desired:
- Snowflake experience (not mandatory).
Languages
- Advanced Oral English.
- Native Spanish.
Note:
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