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Senior Snowflake Engineer

Blend360 · Hyderabad, TS, India · Remote

  • Software & SaaS
  • 1,001–5,000 employees
  • Columbia, Maryland

Weak hiring record · median 87 days open

9292

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Actively hiring

Still listed on the employer's own board · How we score

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  • 64% of this employer's openings are over 60 days old

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  • Still listed on the employer's own board

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Senior Snowflake Engineer at Blend360. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

We are looking for an experienced Senior Data Engineer with strong expertise in Python, Matillion, and Snowflake to design, develop, and optimize scalable data pipelines and cloud-based data warehouse solutions. The ideal candidate should have hands-on experience in ETL/ELT development, data modeling, and cloud data engineering while working in an agile environment.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Matillion.
  • Build and optimize data warehouse solutions on Snowflake.
  • Develop robust data processing frameworks and automation scripts using Python.
  • Create and maintain data models, transformations, and workflows to support business analytics.
  • Optimize Snowflake performance, including query tuning, clustering, and warehouse management.
  • Integrate data from multiple structured and unstructured sources.
  • Collaborate with business stakeholders, analysts, and cross-functional engineering teams to deliver high-quality data solutions.
  • Implement data quality, validation, monitoring, and error-handling mechanisms.
  • Participate in code reviews, testing, deployment, and production support activities.
  • Follow best practices for security, governance, and documentation.
  • 4 to 8 years of experience in Data Engineering.
  • Strong hands-on experience with Python, Matillion, and Snowflake.
  • Experience building ETL/ELT pipelines and data integration solutions.
  • Strong SQL skills with experience in query optimization.
  • Good understanding of data warehousing concepts and dimensional data modeling.
  • Experience working with cloud platforms such as AWS, Azure, or GCP.
  • Knowledge of Git, CI/CD pipelines, and Agile methodologies.
  • Strong analytical, troubleshooting, and problem-solving s
  • Experience with orchestration tools such as Airflow.
  • Exposure to DBT is an added advantage.
  • Knowledge of REST APIs and data integration techniques.
  • Familiarity with data governance and security best practices.

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