- Location
- Bengaluru, Karnataka, India
- Job type
- Full-time
Required skills
- Python
- Agile
- AWS
- Bitbucket
- CI
- CloudFormation
- CloudWatch
- cross-functional
- data engineer
- data lake
- DynamoDB
- EC2
- ETL
- Git
- Jenkins
- Lambda
- Spark
- SQL
- Terraform
- VPC
About the role
Capco
Website:
capco.com
Job details:
AWS DATA ENGINEER
Job Description
- Design, develop, test, deploy, and maintain large-scale data pipelines on a native AWS cloud deployment using native AWS services most likely AWS Glue, AWS Data Migration Service.
- Must have prior experience of data engineering on the AWS platform.
- Good Understanding of Spark/Pyspark/ Python/ SQL.
- Experience of working with AWS data stores including S3, AWS, RDS, DynamoDB, AWS Data Lake. Will have used these technologies in previously executed projects.
- Should have good understanding of AWS Services like Redshift, Kinesis Streaming, Glue, Iceberg, Lambda, Athena, S3, EC2, SQS, SNS.
- Should understand monitoring and observability toolsets i.e. CloudWatch, Tivoli Netcool.
- Basic AWS networking understanding: VPC, SG, Subnets, load Balancers.
- Collaborate with cross-functional teams to gather technical requirements and deliver high-quality ETL solutions.
- Strong AWS development experience for data ETL/pipeline/integration/automation work.
- Should have a deep understanding of Data & Analytics Solution development lifecycle.
- Strong knowledge on CI/CD, Jenkins, able to write testing scripts and automate as much as possible.
- IaC Terraform or CloudFormation
- Basic containers undersanding
- Bitbucket/Git
- Experience of working in an agile/scrum team.
- Experience in Private Bank/Wealth Management domain.
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