Design and implement robust, scalable Snowflake data solutions.
Lead enterprise-scale Snowflake implementations, including greenfield projects and migrations.
Develop and manage data pipelines using DBT, Airflow, and ETL tools like Fivetran or Matillion.
Optimize Snowflake performance through best practices around architecture, micro-partitioning, resource
management, etc.
Collaborate with cross-functional teams to define data architecture, governance, and integration strategies.
Participate in client meetings, ensuring effective communication and stakeholder alignment across project phases.
Technical Requirements
Minimum 7+ years of experience in Data Engineering / BI platforms.
4-5+ years of hands-on experience with Snowflake.
In-depth understanding of Snowflake architecture (warehouses, RBAC, micro-partitioning, data sharing, etc.
Strong command of SQL, including advanced concepts like window functions and dynamic SQL.
Experience with :
DBT (Data Build Tool)
Apache Airflow
ETL tools (e.g., Fivetran, Matillion)
Cloud services, especially AWS
Scripting languages such as Python or Scala
Experience with large-scale data system design, implementation, and performance tuning.
SnowPro Advanced Certification is a plus.
Soft Skills :
Excellent communication and interpersonal skills.
Proven ability to lead end-to-end implementation projects (architecture, design, UAT, go-live).
Comfortable working with international stakeholders, especially US-based clients.
Self-driven, reliable, and detail-oriented with strong problem-solving skills
(ref : hirist.tech)
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Senior Data Snowflake • Delhi, IN
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