

Ampstek
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with 8-12+ years of telecom domain experience, offering a 6-month contract in Milton Keynes, UK. Key skills include AWS services, SQL, Python, and data quality assurance. Onsite work 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
Remote
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📄 - Contract
Unknown
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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- (3 Pos.-Telecom domain experience is must)
Location: Milton Keynes UK
Years of Experience: Min. 8-12+ Years
Type of Hiring: 6 Months Contract (Possible Extension)
Onsite/Offsite: 5 Days onsite. No Remote.
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.
Role: AWS Data Engineer- (3 Pos.-Telecom domain experience is must)
Location: Milton Keynes UK
Years of Experience: Min. 8-12+ Years
Type of Hiring: 6 Months Contract (Possible Extension)
Onsite/Offsite: 5 Days onsite. No Remote.
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.