Insight Global
Website:
insightglobal.com
Job details:
Insight Global are seeking a Snowflake Data Engineer for a large enterprise organisation undergoing a significant cloud and data transformation programme.
The successful candidate will be responsible for designing, building, and optimising modern data pipelines and cloud-based analytical environments. They will work closely with stakeholders across the business to support enterprise data initiatives, enhance platform performance, and enable advanced analytics capabilities, including AI/ML integrations.
This is permanent position with Insight Global and would require you to be onsite 3 days a week in the office in Bengaluru.
Must-Have Requirements Include:
- Strong expertise in Snowflake data engineering and platform administration.
- Advanced SQL development experience, including ANSI SQL, stored procedures, and user-defined functions.
- Hands-on experience building and managing Snowflake Virtual Warehouses, including sizing, scaling, and multi-cluster configurations.
- Experience optimising Snowflake performance through query tuning, clustering keys, caching strategies, and warehouse configuration.
- Knowledge of Snowflake Streams and Tasks for real-time ingestion, CDC processes, and workflow automation.
- Experience leveraging Snowflake Time Travel and Fail-Safe features for data recovery and auditing.
- Strong background building and maintaining ETL/ELT pipelines.
- Experience with Snowpipe for data ingestion and pipeline orchestration.
- Proficiency in Python for automation, scripting, and data engineering workflows.
- Hands-on experience with Snowpark or in-database processing frameworks.
- Experience integrating Snowflake with Azure cloud services.
- Strong understanding of data warehousing concepts and dimensional data modelling.
- Experience implementing data governance, security controls, RBAC, encryption, and secure data-sharing solutions.
- Familiarity with CI/CD pipelines and DevOps/DataOps practices supporting data engineering environments.
Plusses Include:
- Experience integrating Snowflake with AWS services and multi-cloud architectures.
- Exposure to Snowflake Cortex and AI/ML-driven analytics solutions.
- Knowledge of large language model (LLM) workflows and generative AI technologies.
- Experience developing automated deployment, testing, and environment management processes.
- Familiarity with enterprise-scale analytics, reporting, and business intelligence platforms.
- Experience supporting modern data platforms within highly regulated or large-scale enterprise environments.
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