Mid-level Data Engineer

This is a fully remote position, open to applicants in Uruguay, +3 more countries.

📋 Description

• Join a team dedicated to assisting both new and existing customers with their data engineering requirements.

• Provide guidance to customers for making optimal technical choices to reach their objectives.

• Actively manage multiple customer accounts, tracking their progress and reporting as needed.

• Design, construct, and implement intricate data solutions, troubleshoot issues, apply transformations, and suggest data cleansing and quality measures.

• Evaluate data sources to assess their value and recommend their inclusion in analytical workflows.

• Integrate essential data management skills such as data governance, data security, and data quality.

• Collaborate within and among teams to facilitate delivery and educate end users on data products and analytic environments.

• Conduct data and system analysis, assessment, and resolution for defects and incidents of moderate complexity, correcting them as necessary.

• Test data movement, transformation code, and data components.

⛳️ Requirements

• A highly motivated individual with a commitment to continuous learning.

• Excellent verbal and written communication skills in English.

• Familiarity with public cloud platforms such as AWS, Azure, or GCP.

• Preferred: Experience with one or more of the following technologies:

• Data Engineering technologies (e.g., Spark, Hadoop, Kafka)

• Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)

• Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)

• Preferred: Databricks data engineering or machine learning certification.

• Bachelor’s Degree in Computer Science or a related Engineering field.

🏝️ Benefits

• Innovative Environment: Collaborate with state-of-the-art technologies and industry leaders in data engineering and AI.

• Customer Impact: Contribute significantly to how businesses utilize data for strategic decision-making.

• Career Growth: Access to professional development opportunities and pathways for career advancement.

• Collaborative Culture: Become part of a supportive team that prioritizes collaboration and knowledge sharing.