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Cloud Data Architect
Eversana
posted 4mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Design and implement end-to-end data integration solutions with Enterprise Cloud Data Warehouse.
- Data replication from variety of internal and external data sources into Snowflake Data Warehouse Raw layer.
- Collaborate with cross-functional teams to understand business requirements and translate them into effective data models.
- Experience with Snowflake Cloud Data Warehouse Platform is required:
- Experience using Snowflake capabilities such as Snowpipes, Tasks, Streams, Stored Procedures, Data Replication.
- Implement best practices for data auditing & data quality.
- Implement Industry best practices for User Access and Data Security.
- Experience with Secure Data Sharing
- Experience implementing best practices for virtual warehouse management.
- Design and implement ETL processes:
- Experience using DBT ETL is required.
- Experience using Qlik Replicate and Qlik Compose ETL is preferred.
- Experience using CICD pipelines and code repositories such as Bitbucket is preferred.
- Develop and implement efficient ETL processes to support data integration from different engagement platforms.
- Optimize data workflows for performance and scalability.
- Experience with AWS Services (S3, Event Bridge, Cloudwatch, etc.) is required.
- Support client project deliverables:
- Able to lead the implementation and integration of data solutions for clients.
- Provide technical guidance and support during client onboarding processes.
- Conduct data mapping exercises to align business requirements with data architecture.
- Demonstrate proficiency in SQL; Python scripting skills are a valuable addition:
- Write and optimize SQL queries for data extraction, transformation, and loading.
- Python skills for automation and scripting are desirable.
- Knowledge of Life Sciences or Healthcare business processes is advantageous.
- Familiarity with Patient Services and Specialty Pharmacy systems and business processes is a plus.
- Exhibit strong documentation abilities:
- Familiarity with SDLC processes and documentation.
- Experience using work management and documentation platforms such as Jira, Confluence is a plus.
- Document requirements and conduct peer reviews.
- Ensure documentation is accessible and understandable for both technical and non-technical stakeholders.
MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:
- At least 7+ with Data Warehouse architecture design and solutioning.
- At least 3+ years of experience working with Snowflake cloud data warehouse.
- At least 2+ projects operating in Lead Data Architect role.
- Experience using and developing with ETL tools, preferably DBT and Qlik Replicate and Compose.
- Strong problem-solving and analytical abilities.
- Ability to design, execute and communicate solutions to different stakeholders.
- Experience with AWS and Python scripting.
- Bachelors or advanced degree in Computer Science, Information Technology, or a related field
EDUCATION:
- Any graduate / postgraduate.
Employment Type: Full Time, Permanent
Functional Areas: Software/Testing/Networking
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Flexible timing
Monday to Friday
No travel
Day Shift
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