la26.006 - Data Engineering Lead
Location: Mexico City, Mexico City, Mexico
Department: LATAM, Data Engg
Workplace: remote
Description
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.
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