Snowflake Data Engineer (Energy sector project)

Link Group is offering a role as a Snowflake Data Engineer within a Data & Analytics team working on cloud-based data engineering projects across multiple industries, including energy. The role involves designing and delivering modern data solutions on large-scale cloud data platforms.

• Strong hands-on experience in Data Engineering and Data Warehousing.
• Proven experience developing solutions using Snowflake.
• Practical knowledge of Snowflake data modelling including databases, schemas, roles, permissions, and security policies.
• Experience working with Snowflake features such as Tasks, Streams, and Stages.
• Strong SQL skills and experience working with large datasets.
• Experience with ETL/ELT development and data integration processes.
• Experience with cloud data platforms and distributed data processing concepts.
• Knowledge of programming languages such as Python, Java, or Scala.
• Understanding of data formats such as Parquet, ORC, and Avro.
• Experience with Agile delivery methodologies.
• Strong communication and problem-solving skills.

Nice to have:

• Experience with Snowflake performance tuning and resource management.

• Knowledge of data integration tools such as dbt, Matillion, Palantir, or Informatica.

• Experience with streaming and messaging technologies such as Kafka or NiFi.

• Experience with cloud services such as AWS S3, AWS Lambda, AWS Glue, AWS EMR.

• Knowledge of DevOps practices and containerization technologies.

• Experience working directly with clients and business stakeholders.

• 4–7 years of professional experience in Data Engineering, Big Data, or Cloud Data Platform development.

• Proven experience delivering enterprise-scale data solutions.

• Experience working with Snowflake in production environments.

• Experience participating in full data solution delivery lifecycle, from design through deployment and support.

• Design, develop, and deploy scalable Snowflake data pipelines in cloud environments.
• Develop and optimize ETL/ELT processes, including migration of existing on-premise data workflows to cloud platforms.
• Design and implement Snowflake data models including schemas, databases, roles, and security policies.
• Build and maintain Snowflake objects such as Tasks, Streams, and Stages.
• Optimize SQL queries, data models, and processing workflows for performance and scalability.
• Develop batch and real-time data processing solutions for structured and unstructured data.
• Work with data integration tools and modern data engineering frameworks.
• Collaborate with senior stakeholders to understand business requirements and translate them into technical solutions.
• Participate in the complete data solution lifecycle: analysis, design, development, testing, deployment, and production support.
• Contribute to DevOps practices, automation, and deployment processes.