Remote la26.006 - Data Engineering Lead

Description:

• Lead and manage data engineering projects from conception to deployment.
• Design, build, and maintain scalable data pipelines for data ingestion, transformation, and storage.
• Collaborate with data scientists and analysts to meet data needs and provide technical guidance.
• Implement and maintain data quality and integrity measures.
• Utilize cloud-based data platforms, particularly Azure, to enhance data accessibility.
• Mentor junior team members in data engineering concepts.
• Identify and implement process improvements for efficiency and performance.

Requirements:

• 8+ years of experience in data engineering with a proven track record.
• Strong expertise in cloud platforms (preferably Azure) and data processing technologies (e.g., Databricks, Spark).
• Proficient in programming languages such as Python and SQL.
• Experience in data modeling, ETL processes, and data warehousing.
• Familiarity with machine learning concepts is a plus.
• Strong communication skills and ability to work collaboratively.
• Excellent problem-solving skills and detail-oriented approach.

Benefits:

• Collaborative and innovative work environment.
• Opportunities to work on impactful projects with global clients.
• Competitive salary and benefits tailored to mid to senior professionals.
• Continuous learning and career development opportunities.
• Flexible working arrangements based in Mexico.