Data Architect with Databricks Expertise
3 weeks ago
Zenith Infotech is seeking a highly skilled Data Architect with expertise in Databricks to join our team. The ideal candidate will have at least 5 years of experience in data engineering, with a strong background in Python and AWS or Azure services.
Job DescriptionWe are looking for a talented individual who can lead end-to-end data migration projects from on-premises environments to Databricks with minimal downtime. The successful candidate will work closely with architects to design solutions that meet functional and non-functional requirements.
- Design and implement data pipelines using Databricks and AWS services.
- Configure Databricks clusters, write PySpark code, and build CI/CD pipelines for deployments.
- Ongoing optimization techniques such as Zordering, Auto Compaction, and vacuuming.
- Process near real-time data through Auto Loader and DLT pipelines.
To be successful in this role, you will need:
- A Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- Minimum 5 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.
- Proficiency in programming languages such as Python, Java, or Scala.
- Evaluate potential technical solutions and make recommendations to resolve data issues.
- Strong knowledge of SQL and NoSQL databases.
The following skills are highly desirable:
- Experience with big data technologies like Apache Spark and Hadoop on Databricks.
- Knowledge of containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with data visualization tools like Tableau or Power BI.
- Understanding of DevOps principles for managing and deploying data pipelines.
We estimate the salary for this position to be around $120,000 per annum, based on industry standards and the location of Zenith Infotech in Singapore.
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