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Job Description & How to Apply Below
About The Opportunity
We operate in the Cloud Data Warehousing & Analytics sector, delivering enterprise-grade data platform and BI solutions to global customers. Our teams build and maintain modern, scalable data warehouses and ELT pipelines that enable real-time insights, reporting, and advanced analytics.
We are hiring an on-site Snowflake Data Engineer in India to design, implement and optimise Snowflake-based data platforms for business-critical analytics workloads.
Role & Responsibilities
Design, develop and maintain Snowflake data models and ELT pipelines to ingest, transform and curate data for analytics consumers.
Build and operate Snowpipe, Streams & Tasks workflows to support continuous data ingestion and change-data-capture scenarios.
Tune Snowflake schemas, queries and warehouse sizing for cost-efficiency and high-performance analytics hor robust SQL, stored procedures and UDFs; implement data validation, lineage and observability across pipelines.
Collaborate with data engineers, analysts and stakeholders to translate business requirements into scalable data solutions.
Implement CI/CD, code reviews and documentation standards for Snowflake objects and ELT workflows; troubleshoot production incidents.
Skills & Qualifications
Must-Have
Snowflake
SQL
ELT pipelines
Snowpipe
Streams and Tasks
Performance Tuning
Preferred
dbt
Airflow
Snow Pro Certification
Additional Qualifications :
Bachelor's degree in Computer Science, Information Systems or equivalent; 3+ years of hands-on experience in data engineering or data warehousing, with demonstrable Snowflake projects. This is an on-site role in India.
Benefits & Culture Highlights
Opportunity to work on enterprise-scale Snowflake implementations and modern ELT tooling.
Fast-paced, collaborative engineering environment with emphasis on ownership and best practices.
Professional development support including certifications and hands-on upskilling.
Skills:
elt pipelines,airflow,snowflake,sql,performance tuning,dbt
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