Mid-level Data Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

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

• Guide clients in making optimal technical choices to fulfill their objectives.

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

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

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

• Integrate fundamental data management skills, including data governance, security, and quality assurance.

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

• Conduct data and system analyses, addressing and resolving defects and incidents of moderate complexity appropriately.

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

⛳️ Requirements

• Highly motivated professional with a commitment to continuous learning. Demonstrates excellent time management and prioritization abilities.

• Proficient in verbal and written communication in English.

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

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

• 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: Engage 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 emphasizes collaboration and knowledge sharing.