Key Facts

Remote From:

Mexico

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Reliability
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Communication
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Analytical Thinking
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Detail Oriented
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Willingness To Learn
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Problem Solving

Roles & Responsibilities

Strong experience with Python and SQL
Hands-on experience with PySpark or distributed data processing frameworks
Experience building and orchestrating pipelines using Apache Airflow or Amazon MWAA
Solid experience with AWS ecosystem (S3, Redshift, DynamoDB, Athena, EMR, AWS Lambda)

Requirements:

Design, build, and maintain scalable and reliable data pipelines and data processing systems
Develop and optimize ETL/ELT processes for batch and real-time data ingestion
Ingest and process data from internal systems, APIs, third-party platforms, and streaming sources
Design and maintain data models, data lakes, and data warehouse structures

GIGA IT

About GIGA IT

The Nearshore Partner you've been looking for. Our company’s services are focused on project automation and business software. We have over 10 years track record servicing North American and LATAM companies. We are driven by a continuous improvement philosophy, undertaking a solid commitment with our customers to deliver improvement on their products and solutions, while continuously evaluating efficiency, effectiveness, and flexibility in work processes. Remaining adaptable in changing scenarios is key to an Agile mindset. We achieve success by navigating change through self improvement. Our methodology relies on feedback loops, evaluation of where we are, and definition of the direction we are headed, so we can accurately adjust goals and objectives in line with our Customer’s needs.

Company type: SME

Founded: 2018

Company size: 501 - 1000

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Job description

Description

👉 Summary

We are looking for a new GIGAnte to join our team as a Senior Data Engineer.

In this role, you will be responsible for designing, building, and maintaining robust data systems that power SportsEngine’s analytics and operational platforms. You will work closely with cross-functional teams to develop scalable data pipelines and data platforms, enabling reliable data ingestion, transformation, and delivery from multiple sources, including internal systems, third-party providers, and real-time streams.

This is a key role for driving data-driven decision-making and ensuring high-quality, accessible, and scalable data infrastructure across the organization.

👉 What You'll Do

Design, build, and maintain scalable and reliable data pipelines and data processing systems
Develop and optimize ETL/ELT processes for batch and real-time data ingestion
Ingest and process data from internal systems, APIs, third-party platforms, and streaming sources
Design and maintain data models, data lakes, and data warehouse structures
Write clean, efficient, and reusable code for large-scale data processing
Collaborate with product managers, data teams, and engineering teams to understand business needs and translate them into data solutions
Ensure data quality, integrity, and availability across systems
Monitor, troubleshoot, and resolve production issues related to data pipelines and workflows
Contribute to improving code quality, system reliability, and best engineering practices
Actively participate in Agile ceremonies (standups, sprint planning, retrospectives)

👉 What We're Looking For

Technical Skills

Strong experience with Python and SQL
Advanced English (written and spoken)
Hands-on experience with PySpark or distributed data processing frameworks
Experience building and orchestrating pipelines using Apache Airflow or Amazon MWAA
Solid experience with AWS ecosystem, including:
- S3, Redshift, DynamoDB
- Athena, EMR, AWS Lambda
Experience with data lake architectures and modern data platforms
Strong knowledge of ETL/ELT pipelines, APIs, and real-time data ingestion

Experience with Terraform or infrastructure as code (nice to have)
Knowledge of Talend or similar ETL tools (nice to have)
Familiarity with CI/CD pipelines and Test-Driven Development (TDD) (nice to have)

Soft Skills

Strong analytical and problem-solving skills
Detail-oriented with a focus on data quality
Collaborative mindset and ability to work in cross-functional teams
Strong communication skills
Curiosity and willingness to continuously learn and adapt
Ability to troubleshoot complex systems in production environments
Passion for building scalable and reliable data infrastructure

👉 What we offer

🚀 An exciting growth journey and a never-ending ambition to develop as a company
❤️ A friendly, supportive and humble working culture where the team always comes first
🌱 Opportunities for professional development and personal growth
🙌 Passionate, high-performing and genuine colleagues
🧘🏻 We care about the important things: results and well-being
🌈 Referral Programm- Refer a colleague program: Enjoy an amazing reward if you recommend a friend or colleague to GIGA IT and they get hired
🏖️ 10 business days PTO
📆 Local Holidays
🌎 Remote work - You can work from anywhere!
👩🏻‍💻 Notebook
🕔 Work hours: Monday to Friday, from 8 a.m. to 5 p.m.
💵 To be agreed

👉 About GIGA IT

We believe that our differential value lies in our human capital, building a long-lasting relationship beyond mere deliverables.

You will be part of a Latin American company with expert teams that can enrich your knowledge. Thanks to our flexible way of working, we leverage the talent of our collaborators located in different regions of the world.
Our core values are:

Trustworthy: We build trusted and rightful relations towards our external and internal clients
Adaptable: We are flexible to adapt ourselves to complex environments.
Passionate: We love what we do.
Committed: We commit to act with accountability and efficiency at every step of the way.

💡Do you feel this is an exciting challenge for you? Then, don't hesitate to apply. We're eager to meet you and grow together🚀

Ready to apply?

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