PUNE · FULLTIME
Snowflake Data Engineer
Vega Intellisoft
Pune · onsite · Posted 41d ago
Sourced from
Undisclosed9–15 yrsfulltimePune
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Section · 01
About this role
What awaits you/ Job Profile
- Design, build, and manage scalable data solutions on the Snowflake platform.
- Work with Snowflake data structures, focusing on performance tuning, query optimization, and efficient resource usage.
- Support data migration and integration across cloud-based data platforms.
- Optimize system performance and cost by improving data pipelines and warehouse usage.
- Manage and maintain secure data environments using proper access control and governance practices.
- Work across multiple environments, ensuring smooth deployments and consistency.
- Collaborate with teams to ensure reliable, high-performance data solutions that meet business needs.
- Mentor and guide junior developers, conduct code reviews, and enforce best practices.
- Understanding deployment processes and system operations.
- Incident handling and environment stability.
- Coordination with external operations teams.
- Support in decommissioning, migration, and environment readiness.
What should you bring along
- Strong problem-solving mindset with attention to detail.
- Understanding data lifecycle, integration patterns, and best practices.
- Proactive approach to identifying issues and improving data processes.
- Excellent communication and collaboration skills.
- Domain background in Financial Services/banking.
- Good understanding of Data Quality processes, methods and project lifecycle.
Must have technical skill
- Expertise with Snowflake tools such as Snow SQL, Snow pipe, and ETL data pipelines.
- Experience in migrating data from RDBMS to Snowflake cloud data warehouse.
- Ability to develop, test, and deploy scalable ETL/ELT pipelines on Snowflake.
- Experience managing Snowflake objects like tables, views, stages, streams, and tasks with focus on performance and cost optimization.
- Experience monitoring, troubleshooting, and optimizing Snowflake workloads and DBT models.
- Knowledge of Snowflake features like data sharing, event-based processing, and Lakehouse architecture.
- Understanding of data security, access control, and data governance in Snowflake.
- Experience validating ETL processes and writing SQL queries for data verification.
- Strong knowledge of data warehousing (DWH/ODS), ETL concepts, and data modelling principles.
- Experience with other cloud platforms such as Azure or AWS.
Good to have skills
- Familiarity with data warehousing concepts and modern architectures (Lakehouse, data lakes).
- Knowledge of ETL/ELT tools or frameworks (DBT, Informatica, Azure Data Factory, etc.).
- Basic understanding of data security, compliance, and governance practices.
- Experience with monitoring and logging tools for performance tracking.
- Exposure to scripting languages like Python for automation.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
data qualityAutomationData Engineercloud platformsdata platformsamazon web servicesBankingCloud DataData StructuresData MigrationcloudData SecurityArchitectureAzure Data FactoryData GovernancecomplianceMicrosoft AzureData Pipeline
Section · Company
About Vega Intellisoft
Vega Intellisoft
Recruitment
900
employees
2004
22 years old
Chennai, Tamil Nadu
India
₹3.6L PA avg
Avg at Vega Intellisoft
About
Vega Intellisoft specializes in HR recruitment and software development, addressing the challenge of sourcing skilled talent for businesses.
Industries
RecruitmentConsulting
Employee ratings
10 reviews
3.5/ 5
Culture
3.5
Career growth
2.9
Work-life
3.6
Employees rate it well for
Compensation & Benefits35Overall Company35
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