Lead Data Engineer

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

📋 Description

• Create, develop, and sustain automated data pipelines and analytical solutions.

• Streamline manual reporting tasks and repetitive data processes.

• Enhance SQL queries, data models, and processing efficiency.

• Assist in the preparation of production data and model scoring for predictive analytics.

• Oversee data quality, resolve pipeline issues, and enhance reliability.

• Work collaboratively with both business and technical stakeholders to provide scalable data solutions.

• Advocate for data engineering best practices and promote ongoing improvements.

⛳️ Requirements

• Extensive experience as a Data Engineer, Analytical Data Engineer, Analytics Engineer, BI Developer, Reporting Engineer, or a similar role, with a demonstrated history of designing, automating, and delivering production reporting and analytical solutions.

• Proficient in SQL Server and database technologies.

• Strong skills in SQL Server development and database management, including crafting complex queries, optimizing performance, and supporting production reporting and analytical tasks.

• Capability to transform unclear business queries into effective SQL solutions using joins, window functions, CTEs, and sound data modeling techniques.

• Expertise in Python for automation, data handling, and analytical processes.

• Experience with Databricks for developing, maintaining, and supporting production data pipelines and analytical solutions.

• Proven track record in creating reports and dashboards utilizing Tableau or similar BI tools.

• Skill in designing reporting solutions that are actively utilized by the business and effectively communicate the objectives and benefits of each report.

• Experience in converting recurring reporting tasks from manual execution to automated production processes.

• Comfortable with determining the appropriate technology—be it SQL, Python, or others—to create scalable and manageable data workflows.

• Experience in supporting predictive model production processes, including model scoring, preparation of production data, workflow scheduling, monitoring, troubleshooting, and ensuring reliable operational execution of analytical models.

• Ability to decipher an undocumented Excel report, including its filters, joins, date logic, and business rules, and accurately replicate it.

• A methodical approach to reconciling output against a baseline until all discrepancies are accounted for.

• Proficient in gathering requirements and business rules from report owners who know their needs but may not understand the underlying construction.

🏝️ Benefits

• 📚 Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.

• Access to AI learning paths to keep you aligned with the latest technologies.

• Tailored study plans, courses, and additional certifications to enhance your role.

• Access to Udemy Business, offering thousands of courses to improve your technical and soft skills.

• English lessons to aid in your professional communication.

• 🛫 Travel opportunities to attend industry conferences and meet clients.

• 👩‍🏫 Mentoring and Development: Career development plans and mentorship programs to help guide your career path.

• 🎁 Celebrations & Support: Rewards for special days to celebrate birthdays, work anniversaries, and other personal milestones.

• Company-provided equipment.

• ⚖️ Flexible working options to assist you in achieving the right work-life balance.

• Other benefits may vary based on your location in LATAM.