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Senior Data Engineer (AWS)

Datamatics Technologies
Posted 9 days ago, valid for 6 days
Location

Gothenburg, Dawson County 69138, NE

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • We are looking for a Senior Data Engineer (AWS) with 6–8 years of experience to join our team in Stockholm, Sweden, within the retail and data analytics industry.
  • The ideal candidate will have strong hands-on experience in building scalable data pipelines and working with AWS data services, including AWS Glue and DBT.
  • Key responsibilities include designing and maintaining data pipelines, optimizing ETL/ELT processes, and collaborating with various stakeholders to deliver data solutions.
  • Candidates should possess proficiency in SQL and Python, and familiarity with CI/CD pipelines, along with a solid understanding of AWS networking concepts.
  • The salary for this position is competitive and commensurate with experience.

Job Title: Senior Data Engineer (AWS)

Experience: 6–8 Years
Location: Stockholm - Sweden
Industry: Retail / Data & Analytics

Job Summary

We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments.

This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using AWS services.
  • Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool).
  • Manage and configure data workflows and orchestration within the Orion framework.
  • Develop and maintain configuration files and ensure seamless integration across systems.
  • Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.
  • Optimize data processing performance and ensure data quality and reliability.
  • Work on data modeling, transformation, and warehousing solutions.
  • Implement best practices for data governance, security, and compliance.
  • Troubleshoot and resolve data-related issues across pipelines and infrastructure.
  • Contribute to continuous improvement and innovation in data engineering practices.

Required Skills & Expertise

  • Strong experience with AWS ecosystem, including:
    • AWS Glue
    • Amazon S3
    • AWS Lambda
    • Amazon Redshift / RDS
  • Hands-on expertise in DBT (Data Build Tool) for data transformation.
  • Solid understanding of data pipeline architecture and ETL/ELT processes.
  • Experience working with Orion framework and handling configuration-driven workflows.
  • Good understanding of networking concepts within AWS environments (VPC, subnets, security groups).
  • Proficiency in SQL and Python for data processing.
  • Experience with version control systems (Git).
  • Familiarity with CI/CD pipelines for data workflows.

Preferred Qualifications

  • Experience in retail or supply chain data environments.
  • Exposure to real-time data processing and streaming frameworks.
  • Knowledge of data lake and lakehouse architectures.
  • AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).

Key Competencies

  • Strong analytical and problem-solving skills
  • Innovative mindset with a focus on continuous improvement
  • Ability to work in high-performance, collaborative teams
  • Excellent communication and stakeholder management skills
  • Ownership and accountability for deliverables



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