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5 days ago
We are seeking an accomplished Senior Data Engineer to join our team. This role requires a strong background in Databricks and AWS, with hands-on experience in designing, developing, and maintaining scalable data pipelines.
The ideal candidate will be well-versed in PySpark, CI/CD pipelines, and Terraform for infrastructure as code. Experience with DAB (Data Access Broker) is highly preferred.
- Data Pipeline Development: Design and implement high-performance data pipelines using Databricks and PySpark.
- Cloud Infrastructure Management: Implement and manage data solutions on AWS, including services like S3, Glue, Lambda, EMR, and Redshift.
- CI/CD Implementation: Use CI/CD tools for automated deployment and testing of data workflows.
- Infrastructure as Code: Develop infrastructure as code using Terraform to provision and manage cloud resources.
- Collaboration: Work collaboratively with data scientists, analysts, and other engineering teams to support end-to-end data solutions.
This role offers the opportunity to work on cutting-edge data engineering projects, collaborating with a dynamic team of professionals. If you have a passion for data engineering and want to take your skills to the next level, we encourage you to apply.
Requirements- Databricks Expertise: Strong hands-on experience with Databricks is mandatory.
- AWS Knowledge: Solid experience with AWS cloud services is also mandatory.
- PySpark and Distributed Data Processing: Proficiency in PySpark and distributed data processing is required.
- CICD Implementation: Experience in implementing CI/CD pipelines for data workflows is necessary.
- Terraform Skills: Hands-on experience with Terraform for infrastructure management is essential.
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