Lead Snowflake Engineer (AWS)
At a glance
Senior Data Engineering role at Blend360. Hyderabad · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain Matillion workflows that move and transform data through ETL and ELT pipelines
- Create Snowflake warehouse solutions, tuning queries, clusters and warehouse settings for better performance
- Use Python to develop reusable data-processing frameworks and automation scripts
- Model data and combine structured and unstructured sources for analytics, with checks for quality and errors
- Work with stakeholders and engineering teams on delivery, testing, releases and production support
What you bring
- You have four to eight years of data engineering experience
- You have hands-on skills in Python, Matillion and Snowflake, plus strong SQL and query tuning experience
- You have built ETL or ELT pipelines and understand data warehousing and dimensional modeling
- You have worked with a cloud platform such as AWS and know Git, CI/CD and Agile methods
Who this fits
This senior role suits an experienced data engineer who can build pipelines and warehouse solutions and support them in production. The position is onsite in Hyderabad.
From the employer
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 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
- Knowledge of Git, CI/CD pipelines, and Agile methodologies.
- Strong analytical, troubleshooting, and problem-solving
- 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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