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Azure Data Engineers / AWS Data Engineers
Intuit Management Consultancy
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Full-Time
0-3 Years experience
Description
Requirements
| Experience in Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc, on AWS / Azure |
| Experience in developing ETL, OLAP based and Analytical Applications. |
| Experience in ingesting batch and streaming data from various data sources. |
| Strong Experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc.) |
| Ability to quickly learn and develop expertise in existing highly complex applications and architectures. |
| Exposure to AWS platform's data services (AWS Lambda, Glue, Athena, Redshift, Kinesis etc.) Proficiency in Azure technologies such as Azure Data Factory (ADF), Azure Data Bricks (ADB),Azure Synapse Analytics, Azure Active Directory, Azure Storage, Azure data Lake Services (ADLS), Azure key vault, Azure SQL DB, Azure HD Insight. |
| Experience in Airflow DAGS, AWS EMR, S3, IAM and other services |
| Snowflake or Redshift data warehouses |
| Experience of DevOps and CD/CD tools. |
| Familiarity with Rest APIs |
| · Clear and precise communication skills |
| · Experience with CI/CD pipelines, branching strategies, & GIT for code management |
| · Comfortable working in Agile projects |
Benefits
Best in the industry
This is a remote position.
About Intuit Management Consultancy
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