AWS Data Lakehouse Engineer
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
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