Infinity Quest
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," and requires expertise in AWS services, SQL, and Python. Experience in data quality assurance and governance is preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 1, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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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
#Cloud #Automation #S3 (Amazon Simple Storage Service) #Data Engineering #Data Ingestion #Quality Assurance #Redshift #SQL (Structured Query Language) #Data Quality #Athena #Scripting #Data Accuracy #DynamoDB #Python #AWS (Amazon Web Services) #Lambda (AWS Lambda) #Data Governance
Role description
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.
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.
