Senior Data Engineer

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 goalsCollect and manage large volumes of varied data setsWork directly with ML Engineers to create robust and resilient data pipelines that feed Data ProductsDefine data models that integrate disparate data across the organizationDesign, implement, and maintain ETL/ELT data pipelinesPerform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficientlyDevelop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPIRequirements:Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etcExperience in AWSProficiency in programming languages relevant to data engineering, such as Python and SQLProficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormationExperience in building scalable APIsFamiliarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost OptimizationUpper-Intermediate or higher English skillsAbility to take ownership, solve problems proactively, and collaborate effectively in dynamic settingsNice 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 certificationsKnowledge of BI Tools (Power BI, QuickSight, Looker, Tableau, etc.)Experience in building Data Solutions in a Data Mesh architectureWe 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 workLong-term B2B collaboration100% remote — with flexible hours. Collaboration with an international, cross-functional teamComprehensive private medical insurance or budget for your medical needsPaid sick leave, vacation, and public holidaysEquipment and all the tech you need for comfortable, productive workSpecial gifts for weddings, childbirth, and other personal milestonesWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.