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- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
- 6+ years of experience in Data Engineering, with a strong focus on cloud-based data warehouse environments
- Strong expertise in Apache Airflow and AWS Glue
- Proven hands-on experience with AWS Redshift, including: Redshift internals, Workload Management (WLM), Distribution and sort keys, Query execution plan analysis, Performance tuning and optimization techniques
- Hands-on experience with dbt for data transformation, modeling, and pipeline development
- Strong SQL programming skills with deep expertise in Redshift query performance optimization
- Solid understanding of data modeling concepts, including: Dimensional modeling (Kimball methodology), Normalized data models, Hybrid modeling strategies
- Experience with monitoring and troubleshooting tools such as AWS CloudWatch and Redshift Console
- Familiarity with data version control, CI/CD pipelines, and collaborative development best practices using dbt
- A challenging, innovating environment.
- Opportunities for learning where needed.
Key Skills
Ranked by relevance
aws
data warehouse
apache
cloud
cicd
sql
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- Posted
- May 05, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Stockholm
- Company
- GeekSoft Consulting
Industries
IT Services
IT Consulting
Categories
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-05-22
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View Job Details
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Senior Data & Machine Learning Engineer (all genders)
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View Job Details
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