Senior Data Engineer Job at Provectus

Senior Data Engineer

Provectus

Location:

Category:
IT - Software Development

Contract Type:
B2B

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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:

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

What we offer:

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

Additional Information:

Job Posted:
December 11, 2025

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