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Job description
Location: Hyderabad, TS, India Department: Business Development
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 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.
Qualifications
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
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.
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.
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
Questions you may be asked
What is the difference between an AWS Region and an Availability Zone?
Explain the AWS shared responsibility model.
What is Amazon EC2, and how do you read an instance type name like m7g.large?
What is Amazon S3, and what are its main storage classes?