Engineer - PySpark/Snowflake

About the Role

As an Engineer - PySpark/Snowflake at Barclays, you will play a key role in supporting the successful delivery of location strategy projects. This involves building and maintaining systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and data lakes. You will be responsible for ensuring that all data is accurate, accessible, and secure.

Key Responsibilities

• Build and maintain data architectures and pipelines that enable the transfer and processing of durable, complete, and consistent data.
• Design and implement data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Develop processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaborate with data scientists to build and deploy machine learning models.
• Perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Develop technical expertise in work area, acting as an advisor where appropriate.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to.

Skills & Qualifications

• Pyspark
• AWS
• Snowflake
• Agile Methodologies
• DevOps tools
• Airflow
• Iceberg
• Datawarehouse technologies
• Bachelor's degree in Computer Science or related field
• Relevant work experience in data engineering or a related field
• Strong understanding of data architecture and data engineering principles
• Experience with cloud-based data platforms and tools

What You'll Learn

As an Engineer - PySpark/Snowflake at Barclays, you will have the opportunity to learn and grow in a dynamic and innovative environment. You will gain hands-on experience with cutting-edge technologies such as Pyspark, AWS, and Snowflake, and develop your skills in data engineering, data architecture, and machine learning. You will also have the opportunity to work with a talented team of professionals and contribute to the development of innovative solutions that drive business growth.

Resume Tip

When applying for this role, be sure to highlight your experience with Pyspark, AWS, and Snowflake, as well as your understanding of data architecture and data engineering principles. Use specific examples to demonstrate your skills and experience, and be sure to emphasize your ability to work collaboratively as part of a team.