Automate provisioning, monitoring, and incident handling using SQL, APIs, Terraform, and CI / CD pipelines.
Support and optimize DatabricksSnowflake integrations for ETL / ELT and ML workloads.
Ensure Databricks and Snowflake interoperability by managing external tables, Iceberg format, and hybrid storage strategies.
Monitor and optimize credit usage, storage costs, and warehouse efficiency (FinOps practices).
Ensure compliance with Data privacy and governance frameworks.
Experience Required :
8+ years in data engineering, database Administration or data platform engineering.
4+ years of hands-on Snowflake administration in enterprise-scale environments.
Strong expertise in Snowflake internals (warehouses, DCR,query optimizer, clustering).
Good exposure to Databricks clusters, Delta Lake, and notebooks-based pipelines.
Proficiency in SQL, Python / Shell scripting, and automation tools (Terraform, CI / CD).
Experience with monitoring, incident management, and platform governance.
Knowledge of data governance and security compliance frameworks.
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Ability to work in fast-paced, agile environments.
Proactive, self-driven, and detail-oriented.
Nice to Have :
Snowflake SnowPro Advanced (Architect / Data Engineer) certification.
Hands-on with streaming technologies (Kafka)
Experience with FinOps dashboards for credit and cost optimization.
(ref : hirist.tech)
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Data Platform Administrator • Bangalore
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