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
nice-to-have
experience with
terraform
or infrastructure as code
knowledge of talend or similar etl tools
familiarity with ci/cd pipelines and
test-driven development (tdd)
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.
? Salary 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.
core values
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?
#j-*-ljbffr