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5 hours ago
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Related skills

aws sql python airflow kafka

Provectus, a leading AI consultancy and solutions provider specializing in

Data Engineering and

Machine Learning. With a focus on helping businesses unlock the power of their data, we leverage the latest technologies to build innovative data platforms that drive results. Our Data Engineering team consists of top-tier professionals who design, implement, and optimize scalable, data-driven architectures for clients across various industries.

We are seeking a talented and experienced Data Engineer to join our team at Provectus. As part of our diverse practices, including Data, Machine Learning, DevOps, Application Development, and QA, you will collaborate with a multidisciplinary team of data engineers, machine learning engineers, and application developers.

Responsibilities:

  • Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals.
  • Collect and manage large volumes of varied data sets.
  • Work directly with 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/ELT data pipelines.
  • Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently.
  • Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI.

    • Requirements:

  • Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.
  • Experience in AWS.
  • Proficiency in programming languages relevant to data engineering, such as Python and SQL.
  • Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation.
  • Experience in building scalable APIs.
  • Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization.
  • Upper-Intermediate or higher English skills.
  • Ability to take ownership, solve problems proactively, and collaborate effectively in dynamic settings.

    • Nice to Have:

  • Experience with Cloud Data Platforms (e.g., Snowflake, Databricks).
  • Experience in building Generative AI Applications (e.g., chatbots, RAG systems).
  • 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.

    • We offer:

  • Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications.
  • Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work.
  • Long-term B2B collaboration.
  • 100% remote — with flexible hours.
  • Collaboration with an international, cross-functional team.
  • Comprehensive private medical insuranceor budget for your medical needs.
  • Paid sick leave, vacation, and public holidays.
  • Equipment and all the tech you need for comfortable, productive work.
  • Special gifts for weddings, childbirth, and other personal milestones.

    •

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