Cloud Data Engineer

Job Description:
Day to Day Responsibilities:
- Work closely with client business and technical groups on data-focused projects
- Design of Data Warehouse solutions on Microsoft Azure platform using modern cloud native tools.
- Create new solutions to complex design issues
- Develop long term application development strategies
- Participate in all aspects of the application lifecycle: requirements analysis & definition, system design, implementation, testing, deployment, and sustainment
- Proactively communicates risks and issues with PM and Lead, including articulating and presenting the resolution options, their pros and cons, trade offs, etc.
- Participates in daily stand ups with remote project team (internal and with client)

Minimum Requirements:
- 7+ years of overall data warehouse experience, such as Netezza or Teradata
- 3+ years of experience in working with modern cloud data warehouse platform like Snowflake or Azure Synapse Analytics (preference Snowflake but we can consider others)
- 5+ years experience performing Data Engineering using ETL/ELT methodologies using tools like IBM DataStage and Informatica Powercenter.
- 2+ Years of Matillion ETL/ELT experience
- 3+ Years Python experience

MUST HAVE:
- MATILLION and Teradata

Nice to Have:
- Strong knowledge on cloud technologies Azure/AWS.
- Experience in working with, and developing Metadata drive ETL design patterns
- Experience working ETL load patterns for large scale Enterprise Data Warehouse
- Experience with CI/CD toolset (Jenkins, GitLab, Azure Devops)
- Experience working GIT (GitHub, Azure Devops)
- Experience in Azure/AWS/GCP cloud platforms
- Healthcare Payer experience
- Experience in ETL conversion projects into Matillion
(NOTE: This position requires any remote based candidate to be located in Eastern or Central Time Zones. We cannot consider Mountain or Pacific Time Zone candidates at this time.)
INDHCLSMC