Senior Data Engineer

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

📋 Description

• Data Engineering: Create, develop, and sustain scalable data pipelines and ETL workflows.

• Write complex SQL queries and implement optimization strategies to enhance performance.

• Utilize Microsoft Azure & Fabric, Spark, and Python to automate intricate workflows.

• Spearhead engineering initiatives related to machine learning and artificial intelligence projects.

• Integration Development: Create and uphold robust web APIs (SOAP, REST) to facilitate seamless data integration between internal and external systems.

• Collaborate with external vendors to ensure the integrity and functionality of integrations.

• Operational Support: Oversee and troubleshoot data processes, guaranteeing high availability and minimal downtime.

• Proactively identify and address bottlenecks or inefficiencies in data pipelines and integrations.

• Collaboration: Organize and prioritize tasks using the ticketing system while maintaining regular communication in stand-ups and stakeholder meetings.

• Conduct code reviews to ensure compliance with best practices and deliver high-quality outputs.

• Contribute to the technical documentation of processes, tools, and workflows.

• End User Support: Provide tier 3 support to end users of integrated systems such as reporting and accounting.

• Partner with business owners to identify improvement opportunities and gather requirements.

• Leadership & Mentorship: Guide team members by sharing knowledge, conducting training sessions, and providing best practice guidance.

• Take ownership of complex projects, ensuring timely completion and alignment with business goals.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Systems, or another relevant field, or equivalent professional experience.

• Advanced knowledge of relevant programming languages, such as SQL, dbt, Python, and/or C#.

• Proficient in at least one data pipeline orchestration tool, such as Azure Data Factory.

• Deep understanding of data modeling and ETL concepts.

• Experience with version control systems (e.g., Git) and adherence to best practices.

• Strong problem-solving abilities and capacity to work independently on complex assignments.

🏝️ Benefits

• Competitive compensation.

• Remote-first lifestyle.

• Career growth opportunities across various industries and technologies.