la26.006 - Data Engineering Lead

Tiger Analytics is committed to transforming analytics through technology and innovative solutions for our clients. We are a leading advanced analytics consulting firm that partners with organizations to leverage their data to drive meaningful business outcomes. With a strong focus on AI and data science, we help Fortune 100 companies unlock the value of their data through scalable and efficient engineering solutions.

We are currently seeking a Data Engineering Lead to spearhead our data initiatives. In this role, you will be responsible for designing and implementing data engineering projects, ensuring optimal data architecture, and leading a team of engineers to deliver high-quality data solutions. You will work closely with cross-functional teams to ensure that data strategies align with business objectives and drive actionable insights.

Requirements:
Key Responsibilities:

• Lead and manage data engineering projects from conception to deployment, ensuring alignment with stakeholder needs.
• Design, build, and maintain scalable data pipelines to support data ingestion, transformation, and storage.
• Collaborate with data scientists and analysts to ensure that data needs are met and provide technical guidance on best practices.
• Implement and maintain data quality and integrity measures.
• Utilize cloud-based data platforms and technologies, particularly Azure, to enhance data accessibility and usability.
• Mentor and guide junior team members in data engineering concepts and practices.
• Identify opportunities for process improvements and implement solutions that enhance efficiency, scalability, and performance.

Qualifications:

• 8+ years of experience in data engineering, with a proven track record of delivering scalable data solutions.
• 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 and integration of ML models into data pipelines is a plus.
• Strong communication skills and the ability to work collaboratively with cross-functional teams.
• Excellent problem-solving skills and a detail-oriented approach.

Benefits:
• A 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.