Senior Data Engineer

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Work from anywhere in the worldContractSenior
Salary not disclosed
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Job Details

Experience
4+ years
Required Skills
AWSPostgreSQLPythonSQLApache AirflowGCPMicrosoft SQL ServerAzureSparkTerraformDatabricksGitHub ActionsAzure DevOpsPySpark

Requirements

  • 4+ years of hands-on experience as a Data Engineer or in a closely related engineering role
  • 2+ years experience working with cloud platforms (Azure, AWS/GCP)
  • Strong Python skills - ability to write maintainable, production-ready code in distributed data environments
  • Advanced SQL proficiency and experience with relational databases (SQL Server, PostgreSQL)
  • Expertise in DWH data modeling, ETL/ELT architectures, and modern data design patterns (Lakehouse preferred)
  • Solid understanding of cloud architecture, networking fundamentals, security, APIs, and scalable systems
  • Experience working with large-scale, high-volume datasets
  • Strong ownership mindset, creativity, and openness to innovation
  • Ability to operate autonomously and drive initiatives in dynamic, evolving cloud projects

Responsibilities

  • Designing and implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments
  • Leading the technical design of cloud data architectures, contributing to standards, guidelines, and long-term platform strategy
  • Driving best practices in data engineering: quality assurance, lineage, observability, testing, automation, documentation
  • Optimizing data workflows for performance, cost efficiency, and reliability across distributed systems
  • Collaborating closely with clients and senior stakeholders to understand requirements, propose solutions, and communicate technical decisions
  • Working with CI/CD pipelines, infrastructure-as-code, and automation (DataOps) to streamline deployments and operations
  • Integrating data solutions with BI, ML, and application layers across diverse client environments
  • Mentoring mid-level engineers, supporting them in technical growth (without formal line management)
  • Staying up-to-date with emerging technologies and proposing innovations to enhance platform capabilities
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