Senior Data Engineer at Provectus

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 insurance or 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.