Snowflake Engineer
We are seeking a skilled Snowflake Engineer to join our team and take a lead role in
designing, developing, and managing data solutions on the Azure cloud platform. As a Senior Azure
Data Engineer, you will play a pivotal role in transforming raw data into meaningful insights,
ensuring data accuracy, and contributing to the strategic direction of our data architecture.
Experience
- 4 to 7 years
Functional Area
- IT Software - Programming
Role Category
- Programming
Employment Type
Permanent
Working Hours
-
Mon to Fri 2 PM to 11 PM
Work Location
- Vadodara
- Collaborate with cross-functional teams to gather business requirements and translate them into scalable Snowflake-based data solutions.
- Design, implement, and maintain end-to-end data pipelines using Snowflake Data Warehouse and related technologies.
- Develop ETL processes to transform and load data from diverse sources into Snowflake.
- Design and optimize data models and schemas for performance and query efficiency.
- Implement best practices for data governance, quality, and security in Snowflake.
- Work closely with Data Scientists and Analysts to provide them with accurate and accessible data for analysis and reporting.
- Troubleshoot and resolve issues related to data pipelines, performance, and data integrity.
- Stay updated with the latest Snowflake features and advancements in data engineering to ensure continuous improvement.
- Collaborate with team members on code reviews and contribute to maintaining code quality and standards.
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
- Proven track record of 4-7 years in data engineering, with a focus on Snowflake Data Warehouse.
- Strong expertise in designing and implementing data solutions using Snowflake, including data modeling, ETL processes, and data integration.
- Proficiency in SQL queries and scripting for data transformation and integration.
- Experience with Snowflake's features and capabilities, such as virtual warehouses, data sharing, and Snowflake functions.
- Familiarity with cloud platforms (e.g., AWS, Azure) and their integration with Snowflake.
- Strong problem-solving skills and the ability to diagnose and troubleshoot complex data engineering challenges.
- Excellent communication skills to collaborate effectively with a multidisciplinary team.
- Experience with data governance, data quality, and data security practices.
- Prior experience mentoring and guiding junior data engineers is advantageous.
- Familiarity with Big Data technologies (Hadoop, Spark) and familiarity with containerization (Docker) is a plus.
- Snowflake certification is a desirable asset.
If you are passionate about leveraging Snowflake Data Warehouse to create efficient and effective data solutions and are eager to contribute to a dynamic team, we encourage you to apply and help shape our data-driven future.
Roles and Responsibilities: