Syncredible Solutions
Data Engineer – AWS Cloud
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer – AWS Cloud, offering a contract of unspecified length with a pay rate of "unknown." Required skills include AWS, Python, SQL, ETL/ELT, and Unix. Candidates should have 9+ years of IT experience and strong communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
August 4, 2026
🕒 - 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
Dallas, TX
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🧠 - Skills detailed
#Scripting #IAM (Identity and Access Management) #Lambda (AWS Lambda) #Compliance #Data Ingestion #Automation #Java #Microsoft Power BI #Data Engineering #Data Architecture #PySpark #"ETL (Extract #Transform #Load)" #Pytest #Redshift #Deployment #Security #Cloud #AWS (Amazon Web Services) #Scala #Web Services #Shell Scripting #Python #Data Pipeline #S3 (Amazon Simple Storage Service) #Unix #Data Quality #BI (Business Intelligence) #Spark (Apache Spark) #Athena #DevOps #SQL (Structured Query Language)
Role description
About the Company:
At Syncredible Solutions, we believe in the transformative power of technology. we specialize in Digital transformation services, Enterprise solutions, Power BI Analytics solutions and staffing services.
Job Summary
We are seeking a skilled Data Engineer with strong expertise in AWS Cloud to build, optimize, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have hands-on experience with AWS data services, ETL/ELT development, Python, SQL, and modern data engineering practices.
• Minimum 9+ years of IT experience.
• Strong hands-on experience of designing and developing frameworks for UI and Services, leveraging Java, Python and open-source technology stack.
• Must be strong in Python with Pytest & Pyspark exp.
• Must be strong in AWS implementations.
• Must have strong SQL & Unix shell scripting experience.
• Must have basic ETL transformation experience.
• Strong understanding of Development methodologies.
• Must be hands on technology and able to troubleshoot critical issues in design or code.
• Hands on experience with Web Services.
• Strong experience with code review and evaluate the architecture as well as design towards a set of business and technology goals .
• Have Strong Verbal/Nonverbal communication skills.
• Excellent team player and ability to collaborate with peers.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines on AWS.
• Build and optimize ETL/ELT workflows to process large volumes of structured and unstructured data.
• Develop data solutions using Python and SQL.
• Work with AWS services including S3, Glue, Lambda, Redshift, EMR, Athena, IAM, and CloudWatch.
• Implement data ingestion, transformation, and orchestration processes.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Ensure data quality, security, governance, and compliance across the data platform.
• Collaborate with data architects, analysts, and business stakeholders to deliver reliable data solutions.
• Monitor, troubleshoot, and support production data pipelines.
• Follow DevOps and CI/CD best practices for deployment and automation.
Equal Opportunity Statement:
Syncredible Solutions is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
About the Company:
At Syncredible Solutions, we believe in the transformative power of technology. we specialize in Digital transformation services, Enterprise solutions, Power BI Analytics solutions and staffing services.
Job Summary
We are seeking a skilled Data Engineer with strong expertise in AWS Cloud to build, optimize, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have hands-on experience with AWS data services, ETL/ELT development, Python, SQL, and modern data engineering practices.
• Minimum 9+ years of IT experience.
• Strong hands-on experience of designing and developing frameworks for UI and Services, leveraging Java, Python and open-source technology stack.
• Must be strong in Python with Pytest & Pyspark exp.
• Must be strong in AWS implementations.
• Must have strong SQL & Unix shell scripting experience.
• Must have basic ETL transformation experience.
• Strong understanding of Development methodologies.
• Must be hands on technology and able to troubleshoot critical issues in design or code.
• Hands on experience with Web Services.
• Strong experience with code review and evaluate the architecture as well as design towards a set of business and technology goals .
• Have Strong Verbal/Nonverbal communication skills.
• Excellent team player and ability to collaborate with peers.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines on AWS.
• Build and optimize ETL/ELT workflows to process large volumes of structured and unstructured data.
• Develop data solutions using Python and SQL.
• Work with AWS services including S3, Glue, Lambda, Redshift, EMR, Athena, IAM, and CloudWatch.
• Implement data ingestion, transformation, and orchestration processes.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Ensure data quality, security, governance, and compliance across the data platform.
• Collaborate with data architects, analysts, and business stakeholders to deliver reliable data solutions.
• Monitor, troubleshoot, and support production data pipelines.
• Follow DevOps and CI/CD best practices for deployment and automation.
Equal Opportunity Statement:
Syncredible Solutions is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
