Senior Data Engineer

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

📋 Description

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

• Advise customers on making optimal technical choices to fulfill their objectives.

• Engage with multiple customer accounts that you will need to monitor and report on their progress.

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

• Evaluate data sources to ascertain their significance and recommend inclusion in analytical processes.

• 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 about data products and analytic environments.

• Conduct data and system analysis, assess and resolve moderate complexity defects and incidents, and correct them as necessary.

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

⛳️ Requirements

• Over 5 years of relevant experience in data engineering and data product development.

• Experience in 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)

• Strong understanding of the complete data analytics workflow.

• Proven track record of domain expertise, including the capability to grasp technical concepts and possess extensive knowledge of the systems worked on.

• Established problem-solving skills, including debugging abilities.

• Excellent verbal and written communication skills in English.

• Leadership - Intermediate leadership abilities with a demonstrated history of self-motivation in seeking personal growth opportunities.

• Exceptional time management and prioritization skills.

• Nice to have: familiarity with public cloud platforms such as AWS, Azure, or GCP.

• Nice to have: Databricks data engineering or machine learning certification.

🏝️ Benefits

• Innovative Environment: Engage with leading-edge technologies and industry pioneers in data engineering and AI.

• Customer Impact: Make a significant contribution to how businesses utilize data for strategic decision-making.

• Career Growth: Opportunities for professional development and career progression.

• Collaborative Culture: Become part of a supportive team that values cooperation and knowledge sharing.