Data Platform Engineer
Bogota
Formula.Monks
Formula.Monks is an effective innovation consultancy focused on building new lines of business using technology as an enabler.About the RoleAs a Data Platform Engineer, you’ll build cutting-edge data platforms that ingest, manage, and process data from various businesses. This role supports a wide range of use cases, including customer-facing APIs and large-scale machine learning models.
Responsibilities
- Build and operate data platforms using public cloud infrastructure (AWS, GCP), Kafka, databases, and containers
- Develop data science platforms leveraging open-source software and cloud services
- Design and run ETL tools and frameworks to onboard data, define schemas, create DAG processing pipelines, and monitor data quality
- Aid in the development of machine learning frameworks and pipelines
- Manage mission-critical production services
- Perform other related duties as assigned
Qualifications & Skills
- 3+ years of relevant experience in a Data Platform Engineering role
- Strong software engineering skills with Python; additional experience in C++, Java, Go, or Rust is a plus
- Proven expertise in building ETL and stream processing tools with technologies like Kafka, Spark, Flink, or Airflow/Prefect
- Proficient in SQL and databases/engines such as MySQL, PostgreSQL, Snowflake, Redshift, or Presto
- Familiarity with data science tools (e.g., Jupyter, Pandas, Scikit-learn, PyTorch) and frameworks like MLFlow or Kubeflow
- Hands-on experience with AWS/GCP services, Kubernetes, and Linux in production environments
- Strong inclination toward automation and DevOps practices
- Capable of managing increasing data volume, velocity, and variety
- Agile, self-starter mindset with strong communication skills
- Ability to navigate ambiguity and prioritize tasks effectively
- Participation in on-call support beyond standard business hours
- Strong english Skills (B2)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow APIs AWS Consulting Consulting firm Data quality DevOps Engineering ETL Flink GCP Java Jupyter Kafka Kubeflow Kubernetes Linux Machine Learning MLFlow ML models MySQL Open Source Pandas Pipelines PostgreSQL Python PyTorch Redshift Rust Scikit-learn Snowflake Spark SQL
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