Role
| AWS Data Engineer |
Location
| Bangalore |
Experience
| 4 to 6 years |
Number of openings
| 1 |
What awaits you/ Job Profile
| DesigndevelopandmaintaindatapipelinesusingPythonandSQLonAWSinfrastructure. Ensuredataqualityreliability andintegritythroughmonitoringandvalidationprocesses. Optimizedatastorageandretrievalforperformanceandcostefficiency. Documentdataarchitectureprocesses andworkflows. Write andoptimizecomplex SQL queries to transform and prepare datasets. Work with large datasets stored in AWS data lake environments (AmazonS3 AthenaAWSlue). Implement event-driven data workflows usingAWS Lambda SNS andEventBridge. Manage datacataloging governance and permissions using AWS Lake Formation Maintain code repositories and follow version control best practices using GitHub Support infrastructure automation using Terraform where applicable.
|
Whatshouldyoubringalong
| Bachelorsdegreein Computer Science Information Technologyorarelatedfield. Proven experience as aData EngineerpreferablyworkingwithAWStechnologies. Ability to work independently while collaborating effectively withteam. Strong problem-solving skills and ownership mindset toward data reliability and delivery. Business-orientedmindsetensuringsolutionsalignwithbusinessgoalsandusecases. Proficiency in SQL with experience in data modeling and ETL processes. Excellentanayticalandproblem-solvingskillswithstrongattentiontodetail. Understanding of AWS services and the ability to select the right service for the right use case.
|
Must have technical skills
| StrongexpertiseinSQL including writing andoptimizingcomplex queries. StrongproficiencyinPythonfor data engineering and data processing. Hands-on experience withAWS data servicesincluding: AWS Glue Amazon Athena Amazon S3 Sound knowledge of: AWS Lambda Amazon SNS AmazonEventBridge AWS Lake Formation BasictoworkingknowledgeofTerraform.
|
Good tohavetechnicalskills
| AWS Certification (Data Analytics or Solutions Architect). Experience using AI-assisted development tools such as GitHub Copilot. Familiarity with AmazonQuickSight
|
Required Experience:
Senior IC
RoleAWS Data EngineerLocationBangaloreExperience4 to 6 yearsNumber of openings1What awaits you/ Job ProfileDesigndevelopandmaintaindatapipelinesusingPythonandSQLonAWSinfrastructure.Ensuredataqualityreliability andintegritythroughmonitoringandvalidationprocesses.Optimizedatastorageandretrievalforperf...
Role
| AWS Data Engineer |
Location
| Bangalore |
Experience
| 4 to 6 years |
Number of openings
| 1 |
What awaits you/ Job Profile
| DesigndevelopandmaintaindatapipelinesusingPythonandSQLonAWSinfrastructure. Ensuredataqualityreliability andintegritythroughmonitoringandvalidationprocesses. Optimizedatastorageandretrievalforperformanceandcostefficiency. Documentdataarchitectureprocesses andworkflows. Write andoptimizecomplex SQL queries to transform and prepare datasets. Work with large datasets stored in AWS data lake environments (AmazonS3 AthenaAWSlue). Implement event-driven data workflows usingAWS Lambda SNS andEventBridge. Manage datacataloging governance and permissions using AWS Lake Formation Maintain code repositories and follow version control best practices using GitHub Support infrastructure automation using Terraform where applicable.
|
Whatshouldyoubringalong
| Bachelorsdegreein Computer Science Information Technologyorarelatedfield. Proven experience as aData EngineerpreferablyworkingwithAWStechnologies. Ability to work independently while collaborating effectively withteam. Strong problem-solving skills and ownership mindset toward data reliability and delivery. Business-orientedmindsetensuringsolutionsalignwithbusinessgoalsandusecases. Proficiency in SQL with experience in data modeling and ETL processes. Excellentanayticalandproblem-solvingskillswithstrongattentiontodetail. Understanding of AWS services and the ability to select the right service for the right use case.
|
Must have technical skills
| StrongexpertiseinSQL including writing andoptimizingcomplex queries. StrongproficiencyinPythonfor data engineering and data processing. Hands-on experience withAWS data servicesincluding: AWS Glue Amazon Athena Amazon S3 Sound knowledge of: AWS Lambda Amazon SNS AmazonEventBridge AWS Lake Formation BasictoworkingknowledgeofTerraform.
|
Good tohavetechnicalskills
| AWS Certification (Data Analytics or Solutions Architect). Experience using AI-assisted development tools such as GitHub Copilot. Familiarity with AmazonQuickSight
|
Required Experience:
Senior IC
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Posted on:
2 days ago
Vacancies:
1 Vacancy
