Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

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. You will encounter numerous technical challenges and will have the opportunity to contribute to the internal solutions, engage in R&D activities, providing an excellent environment for professional growth.

Responsibilities:

5+ years of experience in data engineering;

Experience in AWS;

Experience handling real-time 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;

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.

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.

What you'll get:

Long-term B2B collaboration;

Paid vacations and sick leaves;

Public holidays;

Compensation for medical insurance or sports coverage;

External and Internal educational opportunities and AWS certifications;

A collaborative local team and international project exposure.

Provectus

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Provectus

Tired of Manually Applying to Jobs?

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Middle/Senior Data Engineer (AWS)

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