Data Engineer

Mexico City, Mexico City, Mexico

Tiger Analytics

An Advanced Analytics and AI consulting services company. Trusted Data sciences, Data engineering partner for Fortune 1000 firms.Simplify data. Explore more

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About Us

At Tiger Analytics, we are a global leader in advanced analytics, AI, and data engineering solutions. Collaborating with some of the world’s most recognized brands, we solve complex business challenges with cutting-edge technology. We are looking for experienced Data Engineers in Mexico to join our team and contribute to transformative data solutions.

Key Responsibilities

  • Design, build, and maintain efficient, scalable data pipelines and ETL workflows.
  • Partner with Data Scientists, ML Engineers, and business stakeholders to understand and implement data requirements.
  • Develop high-performance data processing systems using distributed computing frameworks like Apache Spark or Hadoop.
  • Architect and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
  • Work extensively with tools such as Databricks and Snowflake for data processing and analytics.
  • Optimize and troubleshoot cloud-based data workflows for performance, scalability, and cost-efficiency.
  • Implement robust data governance practices to ensure quality, consistency, and compliance.
  • Work with structured and unstructured data across relational and NoSQL databases.
  • Mentor junior team members and contribute to best practices in data engineering.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 6+ years of experience in data engineering or related roles.
  • Strong expertise in cloud platforms (AWS, Azure, or GCP), including services like AWS Glue, Azure Data Factory, and GCP BigQuery.
  • Hands-on experience with Databricks and Snowflake for large-scale data processing and analytics.
  • Proficiency in Python, SQL, and data processing frameworks such as Apache Spark or Hadoop.
  • Deep understanding of ETL workflows and best practices for large datasets.
  • Familiarity with data modeling, data warehousing, and database architecture.
  • Experience ensuring data security and governance compliance.
  • Excellent problem-solving and communication skills.
  • Fluency in English; Spanish is a plus.

How to Apply

If this role excites you, connect with Viswash Beesetti (Recruitment Lead at Tiger Analytics) to take the next step:
📧 Email: viswash.beesetti@tigeranalytics.com
📞 WhatsApp/Call: +91 8096108220

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture AWS AWS Glue Azure BigQuery Computer Science Databricks Data governance Data pipelines Data Warehousing Engineering ETL GCP Google Cloud Hadoop Machine Learning NoSQL Pipelines Python Security Snowflake Spark SQL Unstructured data

Perks/benefits: Career development Competitive pay Flex hours

Region: North America
Country: Mexico

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