Net2Source (N2S)
AWS Data Engineer
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About Us
Net2Source Inc. is one of the fastest-growing diversities certified global workforce solutions companies with an unprecedented YoY growth of over 100% for the last 6 years. We work with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and the Middle East.
About the Role
Job Title: AWS Data Engineer
Location: Basildon, UK
Mode of Work: Onsite (5 Days Onsite Per Week)
Type of Hiring: Permanent / Fixed Term Employment (FTE – 12 Months)
Skills
Mandatory Skills: AWS Lambda, Data Lakehouse Architecture, ETL Concepts
Good to Have Skills: DBT, Snowflake
Role Overview
We are seeking a talented and experienced AWS Data Engineer to join the Data Solutions domain in EMEA. In this role, you will design, build, 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.
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Technical Qualifications
- 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 StreamSets or Informatica with a 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 such as Apache Iceberg
- Proven expertise with Snowflake including performance tuning and efficient query design
- Experience with batch pipelines (e.g., StreamSets) and streaming technologies (e.g., Kafka)
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Key Responsibilities
- Contribute to the design and implementation of Lakehouse integration architectures including data flows, process flows, and ETL/ETL 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
- 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 modeling, table design, and storage optimization (e.g., Iceberg, Delta patterns)
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Skills