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2 days ago
We are seeking an experienced Senior Data Engineer to join our team at Fusemachines. The successful candidate will have a strong background in Python, SQL, PySpark, Azure, Databricks, Synapse, and DevOps.
This is a remote contract position responsible for designing, building, and maintaining the infrastructure required for data integration, storage, processing, and analytics.
Key Responsibilities:- Architect, design, develop, test, and maintain high-performance, large-scale, complex data architectures.
- Contribute to detailed design, architectural discussions, and customer requirements sessions.
- Actively participate in the design, development, and testing of big data products.
- Construct and fine-tune Apache Spark jobs and clusters within the Databricks platform.
- 5+ years of experience as a data engineer with strong expertise in Databricks, Azure, and DevOps.
- Strong programming skills in one or more languages such as Python (must have), Scala, and proficiency in writing efficient and optimized code for data integration, migration, storage, processing, and manipulation.
- Strong understanding and experience with SQL and writing advanced SQL queries.
- Microsoft Certified: Azure Fundamentals
- Microsoft Certified: Azure Data Engineer Associate
- Databricks Certified Associate Developer for Apache Spark
- Databricks Certified Data Engineer Associate
- Strong programming skills in Python (must have) and other languages such as Scala.
- Proficiency in writing efficient and optimized code for data integration, migration, storage, processing, and manipulation.
- Strong understanding and experience with SQL and writing advanced SQL queries.
- Thorough understanding of big data principles, techniques, and best practices.
- Understanding of security practices, including network security groups, Azure Active Directory, encryption, and compliance standards.
- Ability to implement security controls and best practices within data and analytics solutions.
- A willingness to stay updated with the latest services, Data Engineering trends, and best practices in the field.
- Self-motivated with the ability to work well in a team, and experienced in mentoring and coaching different members of the team.
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