AWS Developer
2 months ago
AWS:
1. Strong proficiency in Python.
2. Experienced in Building S3 file systems via code pipelines.
3. Experienced in Creating and using IAM roles.
4. Experienced in building and managing Key Management Services
5. Experienced in creating and using AWS transfer Family and Storage Gateway mechanism.
6. Experienced in building and using CloudFormation templates.
7. Experienced in standing up and maintaining EC2 instances and Lambda services.
8. Experienced in standing up Kubernetes clusters and maintenance.
9. Previous experience with data visualization tools (Power BI, Tableau).
10. Strong experience with GIT, and CI/CD Pipelines.
Databricks:
1. Extensive experience in Databricks technology.
2. Extensive experience in data mapping, data architecture, and data modeling on Databricks.
3. Extensive experience in Design, implementation, and maintenance of data pipelines using Python, pyspark on Databricks.
4. Strong proficiency in Python, and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional ).
5. Extensive experience in Databricks Data engineering (Job Runs, Data Ingestion and Delta Live Tables ) .
6. Strong experience in setting up and maintaining SQL Warehouses, SQL Editor and alerts.
7. Strong experience in setting up and maintaining workspaces, catalogs, workflows, and Compute.
8. Experienced with All-purpose compute, Job computes, SQL Warehouse, Vector search, Pools, and Policies.
9. Experienced in setting up and maintaining the Unity catalog.
10. Experienced in creating and maintaining Databricks schema, objects, Notebooks, scheduler, and Job clusters.
11. Strong experience in building Notebooks with complex code structures.
12. Strong experience in building and maintaining the Autoloader process.
13. Strong experience in the usage of Table ACL & Row and Column Level Security With Unity Catalog.
14. Strong experience in Data Ingestion, Storage, Harmonization, and curation.
15. Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck.
16. Experienced in data ingestion using various methods API, Direct database reads, AWS Cross account data copy, third party vendor data using FTP process etc.,
17. Proven experience in debugging failed jobs.
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