Snowflake developer
2 days ago
What impact will you make?
Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services,
Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.
The Team
Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
Level - Consultant/Senior Consultant
Total experience - 3 to 9 years
Location - Bangalore/Mumbai/Pune/Delhi
Key Responsibilities:
Data Architecture & Design:
- Design and implement scalable and efficient data pipelines using Snowflake.
- Develop data models, warehouses, and marts to support business intelligence and analytics initiatives.
- Optimize and manage the performance of the data architecture, ensuring low-latency data retrieval and storage.
ETL/ELT Development:
- Build and maintain robust ETL/ELT processes in Snowflake.
- Work with large datasets and build data transformation layers for effective analysis.
- Write clean, efficient, and reusable SQL queries in snowflake to transform data.
Data Governance & Quality:
- Ensure data integrity and accuracy across all pipelines.
- Implement data quality checks, validation, and monitoring using snowflake.
- Work with stakeholders to define data governance best practices.
Technical Skills:
- Strong SQL skills and experience with database optimization.
- Proficient in using Snowflake for data warehousing and modeling.
- Experience with one of the cloud platforms (AWS, GCP, Azure) and integrating cloud-based data services.
- Experience in building and deploying ETL/ELT pipelines.
- Understanding of data warehousing principles and dimensional modeling.
- Knowledge of version control systems (Git).
Other:
- Strong communication and collaboration skills.
- Ability to work in a fast-paced, agile environment.
- Excellent problem-solving and analytical skills.
Good to have:
- Experience with Python or other scripting languages.
- Familiarity with orchestration tools like Airflow or Prefect.
Experience in data visualization tools like Tableau, Power BI, or Looker
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