Data Engineer
2 weeks ago
As a Senior Data Engineer at Capgemini, you will play a key role in designing and implementing data pipelines for our clients. You will work on a team of experienced engineers to develop and maintain large-scale data processing systems, leveraging cutting-edge technologies such as Python, Snowflake, and Airflow.
Key Responsibilities:
- Collaborate with cross-functional teams to collect data requirements and develop data pipelines.
- Design and implement data processing systems using Python and Snowflake.
- Ensure timely delivery of projects and maintain high-quality code.
- Provide technical guidance and support to junior engineers.
- Stay up-to-date with industry trends and emerging technologies.
Requirements:
- 7+ years of experience in data engineering, with a focus on cloud data warehouses.
- Strong Python and SQL skills.
- Experience with data pipeline development and maintenance.
- Knowledge of cloud data warehouse platforms, such as Snowflake.
- Ability to work in a fast-paced environment and prioritize tasks effectively.
About Capgemini
Capgemini is a global leader in digital transformation, helping organizations to accelerate their transition to a digital and sustainable world. We offer a range of benefits, including flexible work options, comprehensive benefits, and opportunities for professional growth and development.
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