Senior Snowflake Engineer

Blend; Hyderabad; Presencial; INR 900 000 - 1 500 000; Tempo integral

Resumo da oferta

Blend is seeking an experienced Senior Data Engineer to design, develop, and optimize data pipelines and cloud data warehouses. You will work with Python, Matillion, Snowflake, and ETL/ELT processes in an agile environment.

Join a premier AI services provider delivering data-driven solutions. You will collaborate with analytics and engineering teams to deliver scalable, secure data workflows and maintain data quality across sources.

Qualificações

• 4–8 years of data engineering experience.
• Hands-on with Python, Matillion, and Snowflake.
• Strong SQL and data warehousing knowledge.
• Experience with AWS, Azure, or GCP.
• Familiarity with CI/CD and Git.

Responsabilidades

• Design, develop, and maintain scalable ETL/ELT pipelines using Matillion.
• Build data warehouse solutions on Snowflake and optimize performance.
• Develop data processing frameworks and automation scripts using Python.
• Create data models, transformations, and workflows to support analytics.
• Collaborate with stakeholders and cross-functional teams to deliver data solutions.
• Implement data quality, monitoring, and error-handling mechanisms.

Conhecimentos

Python

Matillion

Snowflake

ETL/ELT

SQL

Git

CI/CD

Airflow

Ferramentas

Airflow

Git

CI/CD

REST APIs

Descrição da oferta de emprego

Job Description:

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.

Job Description

We are looking for an experienced Senior DataEngineer 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 usingMatillion.
• Build and optimize data warehouse solutions onSnowflake.
• Develop robust data processing frameworks and automation scripts usingPython.
• 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.

Qualifications

• 4 to 8 years of experience in Data Engineering.
• Strong hands-on experience withPython,Matillion, andSnowflake.
• 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 asAWS,Azure, orGCP.
• Knowledge of Git, CI/CD pipelines, and Agile methodologies.
• Strong analytical, troubleshooting, and problem-solving s

Additional Information

• 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.