Location:

100% Remote – Mexico, India or Sri Lanka
Experience: 8+ years of hands‐on experience in delivering data engineering solutions
Experience in analyzing, identifying automation opportunities in a Data Platform modernization project – including accelerating ingestion frameworks, transformation stage, data quality and metadata.
Strong hands‐on experience in AWS/Azure, with experience in data engineering related services and technologies likeDatabricks / Cloudera / Snowflake (Prior deep experience with Cloudera is an added advantage)
Expertise in database concepts, SQL and relational modelling
Good understanding and experience working with NoSQL databases
Strong hands‐on experience in implementing data pipelines using Python, Scala and PySpark
Good understanding of data lake and data warehouse concepts, modern data architecture patterns and industry trends in data engineering space
Good understanding and experience implementing data quality management solutions
Good understanding of metadata management for data engineering solutions and data platforms
Good understanding of data governance concepts – including data stewardship, data security and data privacy management
Experience with version control tools like Git for managing version control for source code
Experience with DevOps processes, including experience implementing CI/CD pipelines for data engineering solution components




Lead technical design efforts for data engineering solution components, automation and accelerators
Design and implement scalable, secure and resilient data engineering solutions on AWS/Azure, with a good understanding of data architecture patterns
Evaluate and select appropriate technology stack for data engineering solution components – cloud native services, open-source tools, data storage, data processing frameworks etc
Lead, mentor and manage a team of dynamic data engineers for development, testing and implementation of data pipelines ensuing quality, performance and on‐time delivery
Responsible for detailed technical design and data mapping specification
Ensure adherence to industry best practices, coding standards and guidelines driving continuous improvement in code quality and delivery excellence
Optimize data solutions for performance, cost‐efficiency and scalability
Ensure data quality and integrity for downstream systems and applications
Plan, prioritize and manage data engineering projects, ensuring timely delivery with quality
Maintain comprehensive technical documentation, including architecture diagrams, high level / low level data integration design, data mapping specifications, database design etc
Working closely with peers, BI engineers and data scientists to enable advanced analytics, machine learning models and reporting solutions
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📌 Data Engineer (Ciudad de México)
🏢 DigitalT3
📍 Ciudad de México