Back to search
Thrive IT Systems Linkedin · Posted 4d ago

AWS Data Lakehouse Engineer

United Kingdom

Linkedin
Continue to application Add your email once, then Caio opens the original posting.

Indexed description

Role-AWS Data Lakehouse Engineer

Mandatory Skills : AWS Lambda, Data lakehouse Architecture, ETL Concepts

Mode-5 days from Office

Location-Basildon/Poland/Dublin

Overview

  • We are seeking a talented and experienced to join the Data Solutions domain in EMEA.
  • In this role you will design build Data Lakehouse Engineer and optimize scalable lake house and data platform solutions that enable data driven decision-making across the organization
  • You will collaborate closely with cross functional teams to create resilient ingestion and transformation pipelines while ensuring reliability performance and high quality data across the ecosystem


Key Responsibilities

  • Contribute to the design and implementation of lake house integration architectures including data flows process flows and ELTETL patterns
  • Build optimize and maintain scalable data pipelines for ingestion processing and storage across data lake and lake house layers
  • Implement and uphold data governance security lineage and compliance best practices throughout the data lifecycle
  • Monitor troubleshoot and fine-tune data workflows compute jobs and storage layers to ensure high performance and reliability
  • Provide production support ensuring robust system observability with proactive detection and resolution of issues
  • Collaborate with platform analytics and engineering teams to ensure efficient data modelling table design and storage optimization eg Iceberg Delta patterns


Technical Qualifications

  • Hands on years of experience in a data engineering or similar role within a fast paced enterprise scale environment
  • Bachelors or Master’s degree in Computer Science Data Engineering or a related technical field
  • Strong Proficiency in SQL and Data Integration Platforms such as IBM Stream sets or Informatica with thorough understanding of data
  • transformation and orchestration processes
  • Extensive Experience with AWS services including IAM Lambda EKS S3 Data Lake EMR PySpark MWAA and Lakehouse technologies
  • Apache Iceberg
  • Proven expertise with Snowflake including performance tuning and efficient query design Experience with batch pipelines eg
  • Stream Sets and streaming technologies eg Kafka
  • Nice to have
  • Data Transformation Frameworks such as DBT
  • Experience with both batch Stream Sets and streaming Kafka data solutions
  • Familiarity with data modelling concepts Inmon Kimball Data Vault etc
  • Exposure to CICD or Infrastructure as code Terraform or any other is a plus
  • Application Performance Monitoring Framework experience is a plus
  • Knowledge of data quality and security best practices is advantageous
  • Ability to understand complex architecture solutions and make sound estimates for the implementation

NonTechnical Skills

  • Strong attention to detail with a proactive approach to identifying and resolving problems
  • A genuine interest in emerging data technologies and a curiosity about continuous improvements
  • Excellent verbal and written communication skills
  • Attention to detail mindset proactively identify problems evaluate solutions
  • Comfort working in an AIempowered automationdriven environment

Skills

Mandatory Skills : AWS Lambda, Data lakehouse Architecture, ETL Concepts

Good to Have Skills : DBT, Snowflake


Free. 20 seconds. No password. See every match in this search.

Create a free Caio profile to unlock more results and save your role and location preferences.

Unlock free search
Want help applying to roles like this? Search Caio for free. If repetitive applications get heavy, Managed Job Search adds supervised execution for $99/month.
View Managed Job Search