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Enterprise Data Infrastructure Specialist
4 days ago
We are seeking a highly skilled Enterprise Data Infrastructure Specialist to join our team at Swedium Global.
About the Job:
- The ideal candidate will have extensive experience in designing, developing, and maintaining large-scale enterprise data infrastructure.
- They will be responsible for ensuring data products operate independently, adhering to standards for security, scalability, observability, and performance.
- Collaboration with Product Owners and stakeholders is necessary to refine existing data products and identify new opportunities to support customer needs.
- Partnership with product teams across domains is required to drive data mesh concepts forward.
- Evaluation and continuous improvement of processes to reduce technical debt within the team is also expected.
- Maintaining up-to-date knowledge of the latest advancements in data/analytics and cloud technologies is essential for this position.
Key Responsibilities:
- Design, develop, and maintain large-scale enterprise data infrastructure.
- Ensure data products operate independently.
- Collaborate with Product Owners and stakeholders.
- Partner with product teams across domains.
- Evaluate and continuously improve processes.
- Maintain up-to-date knowledge of the latest advancements.
Requirements:
- Possession of passion for data, people, and technology.
- A minimum of 4 years of experience, including hands-on work as either a Data Engineer or Software Engineer with cloud expertise.
- Proficiency in data query languages (SQL or similar) and data-centric programming using Python, Java, or Scala.
- A good understanding of data modeling techniques and trade-offs is necessary.
- Knowledge of NoSQL and RDBMS databases is required.
- Excellent communication and collaboration skills are essential for success in this role.
- An ability to work independently and make informed decisions is also necessary.
- Experience with data visualization tools is beneficial.
- Fluent English language skills (written and verbal) are mandatory.
Nice to Have:
- Experience with GCP tools – Dataflow, Dataproc, and BigQuery.
- Knowledge of data processing frameworks – Beam, Spark, Hive, Flink.
Location: Stockholm, Sweden
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