Senior Data Engineer / Tech lead (AWS)

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 / Tech lead 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.

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

Responsibilities

What you'll get

Job Details

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