W3Global

AWS Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with 8-12+ years of experience, offering a 6-month contract, 100% onsite in Milton Keynes, UK. Key skills include AWS services, SQL, Python, and data quality assurance. UK Nationals or ILR required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 1, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Milton Keynes, England, United Kingdom
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🧠 - Skills detailed
#Data Transformations #Quality Assurance #SQL (Structured Query Language) #Data Quality #Athena #Python #Cloud #Automation #Data Accuracy #AWS (Amazon Web Services) #Lambda (AWS Lambda) #S3 (Amazon Simple Storage Service) #Data Engineering #"ETL (Extract #Transform #Load)" #Redshift #Scripting #Data Pipeline #Data Governance #Data Ingestion #DynamoDB
Role description
Role : AWS Data Engineer Location : Milton Keynes UK Years of Experience : Min. 8-12+ Years 6 Months Contract 100 % Onsite Start date : Immediate (Pls. do not submit who have 2-3 months NP) Please share only UK Nationals or ILR Job Description • Perform end-to-end testing of data ingestion, parsing, aggregation, and schema validation processes in AWS. • Conduct stress testing to evaluate the performance of the entire data pipeline built on AWS. • Develop and execute test plans, test cases, and test scripts to ensure data quality and integrity. • Collaborate with data engineers and developers to identify and resolve data quality issues. • Monitor data quality metrics and implement improvements to enhance data reliability. • Validate data transformations and ensure consistency across various data sources. • Document test results and provide detailed reports on data quality findings. Required Skills And Experience • Proven experience with AWS services such as EMR, Lambda, Redshift, Firehose, S3, Iceberg, Athena, and DynamoDB. • Strong understanding of data ingestion, parsing, aggregation, and schema validation processes. • Proficiency in SQL for data querying and validation. • Experience with Python for scripting and automation. • Familiarity with data quality tools and frameworks. • Excellent analytical and problem-solving skills. • Strong attention to detail and commitment to data accuracy. Preferred Qualifications • Experience with data quality assurance in a cloud environment. • Knowledge of data governance and best practices. • Ability to work independently and as part of a team. • Strong communication skills to effectively collaborate with cross-functional teams.