Snowflake Engineer

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

Roles and Responsibilities:

• 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.

Required Skills and Qualifications:

• 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.

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