AWS Data Engineer with 12+ Years, Stored Procedures, Amazon Aurora, Lambda (Day 1 Onsite)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with 12+ years of experience, focusing on AWS services, SQL, and relational databases like Amazon Aurora. Contract length is unspecified, with a pay rate of "unknown," requiring onsite work and strong leadership skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 27, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Minneapolis, MN
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🧠 - Skills detailed
#Databases #AWS Glue #Security #Data Extraction #Leadership #Java #AWS EMR (Amazon Elastic MapReduce) #AWS Lambda #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #OpenSearch #SQL (Structured Query Language) #Data Quality #Data Engineering #Data Modeling #Aurora #"ETL (Extract #Transform #Load)" #Scala #SQL Queries #Data Pipeline #Lambda (AWS Lambda)
Role description
JOB SPECIFICATIONS:
Education: Bachelors degree with 13-15+ years of experience
Key Responsibilities:
• Lead the design and implementation of scalable data pipelines and infrastructure on AWS.
• Work with relational databases such as Amazon Aurora and serverless technologies like AWS Lambda.
• Write and optimize complex SQL queries for data extraction, transformation, and analysis.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Mentor junior engineers and provide technical leadership across projects.
• Ensure data quality, integrity, and security across all systems.
• Troubleshoot and resolve data-related issues with a problem-solving mindset.
Required Qualifications:
• Proven experience with AWS services (e.g., Lambda, Aurora, S3, etc.).
• Strong proficiency in SQL and working with relational databases.
• Excellent problem-solving skills and analytical thinking.
• Experience leading data engineering teams or projects.
• Ability to work independently and manage multiple priorities.
Preferred Qualifications: not mandatory
• Experience or Knowledge with AWS EMR and AWS Glue is a plus.
• Familiarity with Java for backend or data pipeline development.
• Experience with OpenSearch or similar search technologies.
• Knowledge of data modeling, ETL frameworks, and performance tuning.
JOB SPECIFICATIONS:
Education: Bachelors degree with 13-15+ years of experience
Key Responsibilities:
• Lead the design and implementation of scalable data pipelines and infrastructure on AWS.
• Work with relational databases such as Amazon Aurora and serverless technologies like AWS Lambda.
• Write and optimize complex SQL queries for data extraction, transformation, and analysis.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Mentor junior engineers and provide technical leadership across projects.
• Ensure data quality, integrity, and security across all systems.
• Troubleshoot and resolve data-related issues with a problem-solving mindset.
Required Qualifications:
• Proven experience with AWS services (e.g., Lambda, Aurora, S3, etc.).
• Strong proficiency in SQL and working with relational databases.
• Excellent problem-solving skills and analytical thinking.
• Experience leading data engineering teams or projects.
• Ability to work independently and manage multiple priorities.
Preferred Qualifications: not mandatory
• Experience or Knowledge with AWS EMR and AWS Glue is a plus.
• Familiarity with Java for backend or data pipeline development.
• Experience with OpenSearch or similar search technologies.
• Knowledge of data modeling, ETL frameworks, and performance tuning.
