Cons - TC - AI and Data - E2E - Ent Data - Data Eng - Cloud Big Data - Manager - Mul Pos - 1695986
Tasks
- Communicate findings and recommendations
- Cultivate business development opportunities
- Design, build, and maintain scalable data solutions
- Develop analytics to solve business problems
- Ingest, process, and analyze large data sets
- Maintain client relationships and networks
- Manage and motivate data professional teams
- Manage client engagement delivery
- Monitor progress and deliver quality client services
- Recommend and build data platforms
- Unify enrich and analyze customer data
- Use KPIs to map technology to business outcomes
Perks/Benefits
- 401k plan
- Dental insurance
- Flexible vacation policy
- Hybrid work model
- Medical insurance
- Paid Holidays
- Paid time off
- Pension plan
Skills/Tech-stack
AWS CloudFormation | AWS Lambda | AWS SNS | Amazon Aurora | Amazon EMR | Amazon Kinesis | Amazon Redshift | Amazon S3 | Ansible | Apache Kafka | Azure | Azure Blob | Azure Blob Storage | Azure Databricks | Azure Functions | Big Data | Bitbucket | Blob Storage | Boto3 | CI/CD | Certificate management | Chef | Cloud Computing | Data Engineering | Data Lake | Data Lake Analytics | Data Warehouse | Docker | Encryption | Event Grid | Event Hubs | GCP | Git | HDInsight | IAM | Infrastructure as Code | Jenkins | Key Management | Kubernetes | Linux | Microsoft Event Hubs | NAT | Network Administration | Puppet | RHEL | Route Tables | SQL Data Warehouse | Security groups | Shell Scripting | SonarQube | Subnets | Terraform | Ubuntu | VPC | VPC Endpoints | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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