AWS Data Lakehouse Engineer

Net2

Source Inc. is one of the fastest growing diversities certified global workforce solutions companies with an unprecedented YoY growth of over 100% for last 6 years working with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and Middle East.

Job Title – AWS Data Lakehouse Engineer

Location – Basildon, UK

Mode of Work – Onsite (5 Days Onsite Per Week)

Type of Hiring – Permanent / Fixed Term Employment (FTE – 12 Months)

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

Good to Have Skills : DBT, Snowflake

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 Lakehouse 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

• 7 years of experience in a data engineering or similar role within a fast-paced enterprise scale environment
• Bachelor’s 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 e.g., Stream Sets and streaming technologies e.g., Kafka

• Contribute to the design and implementation of Lakehouse 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 Lakehouse layers
• Implement and uphold data governance security lineage and compliance best practices throughout the data lifecycle
• Monitors troubleshoot and finetune 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 e.g., Iceberg Delta patterns