
Senior Data Engineer
Provectus
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇷🇸 Serbia
Visit company websiteJob Level
Senior
Tech Stack
AirflowApacheAWSETLFlaskKafkaPythonSparkSQLTerraform
About the role
- 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.
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringETLELTdata modelingdata transformationAPI developmentPythonSQLInfrastructure as Codedata warehousing
Soft skills
collaborationproblem-solvingownershipcommunicationadaptability