Role : Snowflake Data Engineer

Location : Hyderabad, India

Experience : 7-15 Years

Employment Type : Full-time

Job Overview :

We are seeking an experienced Snowflake Data Engineer to design, build, and maintain scalable data pipelines and solutions within the Snowflake ecosystem. You will be instrumental in leveraging Snowflake's robust capabilities to support our advanced analytics and business intelligence initiatives. If you have a strong background in data engineering, extensive hands-on experience with Snowflake, and a passion for building efficient and high-performing data platforms, we encourage you to apply.

Key Responsibilities :

- Design, develop, and maintain robust and scalable data pipelines using Snowflake and related tools.

- Implement efficient ETL/ELT processes for data ingestion, transformation, and loading from diverse sources into Snowflake.

- Optimize Snowflake data warehouses for performance, cost-efficiency, and scalability, including query optimization and cluster management.

- Collaborate with data architects, data scientists, analysts, and other engineering teams to understand data requirements and deliver effective solutions.

- Ensure data quality, integrity, and security across all data pipelines and storage solutions in Snowflake.

- Develop and maintain complex SQL scripts and stored procedures within Snowflake.

- Troubleshoot and resolve complex data-related issues within the Snowflake environment.

- Implement data governance and compliance best practices specific to Snowflake.

- Participate in code reviews and contribute to the continuous improvement of data engineering standards and processes.

Requirements

- 7-15 years of experience as a Data Engineer.

- Strong hands-on experience with Snowflake data warehousing platform.

- Proven experience in designing, building, and optimizing ETL/ELT pipelines within Snowflake.

- Expertise in SQL for complex data manipulation, aggregation, and querying.

- Experience with at least one programming language commonly used in data engineering (e.g., Python, Java, Scala).

- Solid understanding of data warehousing concepts, data modeling (dimensional, 3NF), and schema design.

- Experience with cloud platforms (e.g., AWS, Azure, GCP) and integrating them with Snowflake.

- Familiarity with version control systems, preferably Git.

- Strong problem-solving and analytical skills.

- Excellent communication and collaboration abilities.

Preferred Qualifications

- Snowflake certifications (e.g., SnowPro Core, SnowPro Advanced).

- Experience with data integration tools (e.g., Talend, Informatica, Fivetran, DBT).

- Knowledge of big data technologies (e.g., Spark, Hadoop) and their integration with Snowflake.

- Experience with CI/CD pipelines for data solutions.

- Familiarity with data governance and security best practices in a cloud data warehouse environment.