
Data Engineering Manager
14 hours ago
Job Overview
We are seeking a skilled professional to implement cloud data pipelines using AWS Databricks, Snowflake, Python, and Fivetran.
The ideal candidate will have experience working on projects involving AWS Databricks and Python, as well as native AWS data architecture and services like S3, Lambda, Glue, and EMR. Additionally, they should be familiar with Databricks Spark and have experience handling the AWS Cloud platform.
Key Responsibilities:
- Designing and implementing scalable cloud data pipelines
- Collaborating with cross-functional teams to deliver high-quality solutions
- Maintaining and optimizing existing data architectures
- Ensuring data security, compliance, and governance
Requirements:
- 12-16 years of experience in data architecture and engineering
- Expertise in AWS Databricks, Snowflake, Python, and Fivetran
- Familiarity with native AWS data architecture and services like S3, Lambda, Glue, and EMR
- Strong understanding of Databricks Spark and data processing concepts
- Ability to work collaboratively in a fast-paced environment
Benefits:
We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
About Us:
We are a dynamic organization committed to delivering innovative solutions that drive business success.
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