At a glanceSummarised by Seekless from the posting.
Must have10
4 to 8 years of experience in Data Engineering
Strong hands-on experience with Python
Strong hands-on experience with Matillion
Strong hands-on experience with 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 skills
Nice to have4
Experience with orchestration tools such as Airflow
Exposure to DBT
Knowledge of REST APIs and data integration techniques
Familiarity with data governance and security best practices
Skills
Python
Matillion
Snowflake
SQL
AWS
Azure
GCP
Git
Airflow
DBT
REST APIs
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
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Design, develop, and maintain scalable ETL/ELT pipelines using Matillion.
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Build and optimize data warehouse solutions on Snowflake.
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Develop robust data processing frameworks and automation scripts using Python.
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Create and maintain data models, transformations, and workflows to support business analytics.
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Optimize Snowflake performance, including query tuning, clustering, and warehouse management.
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Integrate data from multiple structured and unstructured sources.
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Collaborate with business stakeholders, analysts, and cross-functional engineering teams to deliver high-quality data solutions.
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Implement data quality, validation, monitoring, and error-handling mechanisms.
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Participate in code reviews, testing, deployment, and production support activities.
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Follow best practices for security, governance, and documentation.
Qualifications
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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
Additional Information
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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.