Senior Data Engineer (Remote)

At Intellias, we’re always on the lookout for exceptional talent to join our team in Colombia.

Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!

If you’re enthusiastic about contributing your skills and experience to our organization, we invite you to submit your CV for this position.

What we offer you in Colombia

• Indefinite contract with Intellias Colombia SAS, payment in COP
• Health, life, funerary and pet insurance for the employee
• Extra vacation days
• Workation up to 90 day outside Colombia
• Training and certifications
• 100% work from home + internet subsidy
• 100% English environment

Requirements:

• 7+ years of experience in data engineering or a similar role.
• Mandatory recent commercial experience in Event Streaming frameworks like Apache Flink and Kafka.
• Strong proficiency with AWS services such as Kinesis, Firehose, and Redshift is mandatory
• Experience developing in Kotlin and Pythonis Mandatory

Will be a plus:

• Glue and Lambda
• Developing in C#/.Net
• Experience in designing and implementing Complex Event Processing (CEP) solutions for real-time data streams.
• Experience with cloud data infrastructure solutions in AWS.
• Expertise in distributed data processing frameworks such as Apache Spark or similar.
• Familiarity with OLAP databases such as Snowflake or Redshift.
• Familiarity with data integration tools such as Metillion and experience with large-scale data environments.

Responsibilities:

• Monitoring, Observability & Optimization
• Utilize Apache Flink for real-time stream processing and monitoring to handle complex event processing and data transformations effectively.
• Use tools like Prometheus and Grafana for observability to ensure the health and performance of the data pipeline.
• Continuously monitor, troubleshoot, and optimize data pipeline performance to handle billions of events per month.
• Collaboration & Integration
• Work closely with cross-functional teams, including front-end developers and data scientists, to build a robust data platform that meets current and future business needs.
• Participate in the design and architecture of scalable data systems, integrating new data sources, and optimizing existing data processes.
• Write production-level code in Kotlin and Python to build data processing applications, automation scripts, and CEP logic.