Data Engineer (python & AWS)

Data Engineer (Python & AWS)

You are a Data Engineer who enjoys building reliable, scalable data platforms that make an impact. You thrive in environments where you can design end-to-end solutions, apply software engineering best practices, and keep growing your technical craft in the cloud.

You bring to Applaudo the following competencies:

• 5+ years of hands-on Data Engineering experience.
• Advanced SQL and database fundamentals.
• Python for data pipelines and automation.
• Cloud experience with AWS, Azure, or GCP (core data services).
• Data modeling (dimensional, performance-optimized).
• Experience with orchestration tools (Airflow, Dagster, Prefect).
• Terraform/CloudFormation for Infrastructure as Code.

Nice to have:

• Docker/Kubernetes for containerized data solutions.
• Apache Spark or other distributed data processing frameworks.
• Kafka, Kinesis, Pub/Sub for streaming pipelines.

You will be accountable for the following responsibilities:

• Design and maintain scalable ETL/ELT pipelines from multiple data sources (APIs, DBs, streams, files).
• Develop and optimize cloud data warehouses and data lakes (Snowflake, BigQuery, Redshift, etc.).
• Apply software engineering best practices: version control, CI/CD, testing, automation, Infrastructure as Code.
• Implement observability in data pipelines (logging, monitoring, alerting).

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Celebrations
• Special discounts*
• Entertainment area*
• Modern Work Spaces*
• Great work environment
• Private medical insurance*

*Benefits may vary according to your location and/or availability. Request further information when applying.