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Job Description

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 at scale.
  • Author 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
  • SnowPro 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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Job ID: 138504641

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