Snowflake Technical Lead

About Sopra Steria
Sopra Steria, a major Tech player in Europe with 56,000 employees in nearly 30 countries, is recognized for its consulting, digital services and software development. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organizations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a fully collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2023, the Group generated revenues of €5.8 billion.
The world is how we shape it.

We are seeking a skilled Data Transformation Specialist to join our team and play a key role in implementing data solutions. Our partner, RSMB, will be designing a range of data solutions throughout the delivery phase. Your role will be to take these solutions and translate them into efficient, high-quality code within the Barb Snowflake platform.

Key Responsibilities

1. Develop and implement data transformation solutions based on the designs provided by RSMB.
2. Write, optimize, and maintain complex SQL queries to ensure efficient data processing.
3. Work within the Snowflake environment, ensuring best practices for data storage, processing, and retrieval.
4. Collaborate with stakeholders, including data architects and analysts, to ensure smooth execution of data solutions.
5. Troubleshoot and resolve performance issues in SQL queries and Snowflake environments.
6. Leverage Python for scripting and automation of data processing tasks.
7. Ensure data integrity, quality, and compliance with industry standards.

Total Experience Expected: 06-08 years

1. Expertise in SQL – Ability to write and optimize complex queries.
2. Hands-on experience in Snowflake – Working knowledge of Snowflake architecture, storage, and processing.
3. Proficiency in Python – Ability to write scripts for data transformation and automation.
4. Familiarity with data modeling and transformation techniques.
5. Experience in ETL/ELT processes and working with structured and semi-structured data.
6. Strong problem-solving skills and attention to detail.
7. Ability to work independently and manage multiple priorities.

At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.

All of our positions are open to people with disabilities.