Senior Data Engineer

hace 2 semanas


Colombia Provectus IT, Inc. A tiempo completo

Senior Data Engineer:

Medellín, Antioquia, Bogotá, Capital District, San Jose

About project
We are seeking a talented and experienced
Senior Data Engineer to join our team at Provectus.


You will encounter numerous technical challenges and have the opportunity to contribute to exciting open-source projects (e.g., ODD, UI for Kafka), build internal solutions, and engage in R&D activities, providing an excellent environment for professional growth.


Responsibilities

  • Collect and manage large volumes of varied data sets;
  • Work directly with Data Scientists and ML Engineers to create robust and resilient data pipelines that feed Data Products;
  • Define data models that integrate disparate data across the organization;
  • Design, implement, and maintain ETL pipelines;
  • Develop and continuously test datadriven solutions.

Requirements:

  • 5+ years of experience in data engineering;
  • Experience working with Cloud Solutions (preferably AWS, also GCP or Azure);
  • Experience with Cloud Data Platforms (e.g., Snowflake, Databricks);
  • Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation;
  • Experience handling realtime and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.;
  • Proficiency in programming languages relevant to data engineering such as Python and SQL;
  • Experience in building scalable APIs;
  • Ensure data quality, governance, and security in all data processing activities.
  • Document and maintain data engineering processes and workflows.
  • Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization;
  • Strong problemsolving skills and the ability to work collaboratively in a fastpaced environment.
  • Advanced or Fluent English skills;

Nice to Have

  • Relevant AWS, GCP, Azure, Databricks certifications;
  • Knowledge of BI Tools (Power BI, QuickSight, Looker, Tableau, etc.);
  • Experience in building Data Solutions in a Data Mesh architecture;
  • Familiarity with classical Machine Learning tasks and tools (e.g., OCR, AWS SageMaker, MLFlow, etc.).
  • Experience in building Generative AI Applications (e.g., chatbots, RAG systems);

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