Location: 100% Remote – Mexico, India or Sri Lanka

Experience: 8+ years of hands‑on experience in delivering data engineering solutions

Required Skills & Qualifications

Experience in analyzing, identifying automation opportunities in a Data Platform modernization project – including accelerating ingestion frameworks, transformation stage, data quality and metadata.

Experience leading a team of 5+ team members, responsible for technical solution, design review, code reviews and mentoring

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

Strong analytical and problem-solving skills

Excellent communication and collaboration skills





Responsibilities:

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

Identify and mitigate risks, troubleshoot issues, handle customer escalations

Ensure alignment with business requirements and priorities, working closely with stakeholders – both internal and customer

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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📌 Senior Data Engineer – Mexico/India (Remote) (Ciudad de México)
🏢 DigitalT3
📍 Ciudad de México