Careers
Join us to Shape the Future of Cloud Governance
Data Engineer
CoreStack, an AI-powered multi-cloud governance solution, empowers enterprises to unleash the power of cloud on their terms by helping them rapidly achieve continuous and autonomous cloud governance at scale. CoreStack enables enterprises to realize outcomes across FinOps, SecOps and CloudOps such as 40% decrease in cloud costs and 50% increase in operational efficiencies by governing operations, security, cost, access, and resources. CoreStack also assures 100% compliance with standards such as ISO, FedRAMP, NIST, HIPAA, PCI-DSS, AWS CIS & Well Architected Framework (WAF). CoreStack works with many large global customers across multiple industries including Financial Services, Healthcare, Retail, Education, Telecommunications, Technology and Government. The company is backed by industry leading venture investors. CoreStack is a recent recipient of the 2021 Gold Stevie American Business Awards in the Cloud Infrastructure category and 2021 Gold Globee Winner of the Most Innovative Company of the Year in IT Cloud/SaaS. In addition, CoreStack won the 2021 Best New Products American Business Award in Cloud Governance as well as Golden Bridge Awards for Cloud Computing/SaaS Innovation and Cloud Security Innovation. CoreStack was recognized as IDC Innovator in Cloud Management Solutions and in the Gartner Magic quadrant for Cloud Management Platforms in 2020. The Company is a three-time TiE50 Winner and a Emerge 50 League-10 NASSCOM award recipient in Enterprise Software. CoreStack is a Google Cloud Build Partner, Microsoft Azure Gold & Co-Sell Partner, and Amazon AWS Advanced Technology Competency Partner.
The Data Engineer falls into the Analytics & Business Intelligence area at CoreStack. We transform data form various sources such as MongoDB, Excel, Third party API to SQL using Azure Data factory.
Primary Responsibilities
- Design destination relational data model based on source No-SQL model
- Design Azure data factory pipeline for transforming data
- Develop Data transformation pipelines including custom pipelines using custom code to transform data efficiently and effectively
- Perform Data Governance activities such as clean up, reconciliation, backup, and archival
- Develop required stored procedures to complete pipeline activities
Experience and Skills
- Technical degree at least 4+ years of IT experience
- Minimum 3 year of experience in Data Engineering which includes custom data transformation
- Good hands on experience with Azure Data Factory and SQL
- Minimum 3 years of experience in Python/Dotnet to perform custom transformation
- Good understanding of NoSQL databases like MongoDB would be added advantage
Personal Attributes
- Extremely focused on data engineering and analytics
- Strong communications skills (verbal and written) and outstanding interpersonal skills
- Demonstrate a strong work ethic with a willingness to do what it takes to get the job done
- Team player with focus on team success
Location
- Chennai, TN – India
The Perks & Benefits
Competitive Salary
Competitive benefits with appreciable equity
Health insurance and other company benefits
