Coforge
Job Title:
AWS Senior Data Engineer Skills:
AWS, Datalake, ETL, SQL Experience:
10+ years Location:
Morristown, NJ (Hybrid) Duration:
Fulltime
Submit your CV and any additional required information after you have read this description by clicking on the application button.
We at Coforge are hiring an AWS Senior Data Engineerwith the following skillset :
Build and maintain the data pipelines that move and process data from disparate sources into our data lake house platform. Facilitate data preparation for use cases involving internal reporting, data lake house integrations, and predictive analytics. Work closely with our analytics and reporting team to create and maintain curated data marts. Leverage agile software development methods to make iterative enhancements to the data lakehouse infrastructure and ETL processes. Working with databases and data pipelines. Data ingestion using products like Fivetran, AWS Glue and other cloud-based tools. Working with the full suite of AWS Services (S3, Lambda, Glue, Athena, SNS, EC2, etc). Working with databases such as Microsoft SQL Server, Oracle, PostgreSQL, DynamoDB, etc. Working with version control software such as Git and Bitbucket. Working with the various business units to analyze need, recommend solutions, and work with the team to prioritize, plan, and execute on deliverables.
AWS Senior Data Engineer Skills:
AWS, Datalake, ETL, SQL Experience:
10+ years Location:
Morristown, NJ (Hybrid) Duration:
Fulltime
Submit your CV and any additional required information after you have read this description by clicking on the application button.
We at Coforge are hiring an AWS Senior Data Engineerwith the following skillset :
Build and maintain the data pipelines that move and process data from disparate sources into our data lake house platform. Facilitate data preparation for use cases involving internal reporting, data lake house integrations, and predictive analytics. Work closely with our analytics and reporting team to create and maintain curated data marts. Leverage agile software development methods to make iterative enhancements to the data lakehouse infrastructure and ETL processes. Working with databases and data pipelines. Data ingestion using products like Fivetran, AWS Glue and other cloud-based tools. Working with the full suite of AWS Services (S3, Lambda, Glue, Athena, SNS, EC2, etc). Working with databases such as Microsoft SQL Server, Oracle, PostgreSQL, DynamoDB, etc. Working with version control software such as Git and Bitbucket. Working with the various business units to analyze need, recommend solutions, and work with the team to prioritize, plan, and execute on deliverables.