Provectus

Senior Data Engineer, AWS

Provectus

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇷🇸 Serbia

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Job 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
Semrush

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Posted: 1 day agoSource: semrush.wd5.myworkdayjobs.com
AirflowBigQueryCloudGoogle Cloud PlatformPostgresPythonSQL