Senior Data Engineer Salary – £70-80k with 15% bonus Hybrid working – couple of days in the office City of LondonWe are looking for: Good understanding of data engineering principles A good technical grasp of Snowflake and automating it, and transforming complex datasets SnowPro core certification. AWS Skillset Delivery experience Building solutions in snowflake Insurance experience – advantageous but not necessaryKey Responsibilities:Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native cloud data warehouse solutions Develop and optimize ETL processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Deliver data to presentation layers to power reporting and analytics Collaborate with stakeholders, product owners, and developers Create and maintain data models that serve as a foundation for reporting and analytics Monitor performance metrics and troubleshoot issues within the data architecture, ensuring optimal health and efficiency.Skills and Experience:Bachelor’s degree or higher in a technical discipline Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and transformations Python programming for data processing and analysis is a plus Strong acumen for application health through performance monitoring, logging, and debugging AWS or Snowflake certifications are a plus
AWS/Snowflake Specialist employer: JobFlurry
Contact Detail:
JobFlurry Recruiting Team