
Leading Data Pipeline Architect
1 week ago
Achieve success in your career as a Data Engineer by joining our team to design scalable data pipelines and build modern, high-performance data platforms.
Our ideal candidate will have experience with Databricks, Delta Lake, and AWS services.
- Develop/improve data pipelines using Python and PySpark for batch and streaming workloads
- Design and manage Delta Lake layers (Bronze, Silver, Gold) - Databricks
- Set up and maintain Databricks workflows, jobs, notebooks, and DLT pipelines
- Optimize performance using Databricks tools and best practices for clean, modular code
- Work with AWS S3 to manage raw and processed data securely
- Use Terraform and Databricks Asset Bundles
- Automate AWS workflows using Boto3 (S3, Glue, Lambda)
- Collaborate with data scientists and engineers to ensure seamless data flow across teams
- Implement data quality checks, validation, and monitoring
Required Skills & Experience:
- Strong coding skills in Python and PySpark
- Experience with Databricks and Delta Lake
- Proficiency in AWS services, especially S3, Glue, Lambda, and Redshift
- Knowledge of Terraform or CloudFormation
- Ability to automate AWS tasks with Boto3
- Prior experience building efficient, secure, and scalable pipelines
- Excellent teamwork and communication skills
- Databricks certification
- Experience working in fast-paced delivery environments
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