

TechDoQuest
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown" and a pay rate of "unknown". Key skills include strong expertise in Informatica Cloud, proficiency in AWS services, and experience with Snowflake. A Bachelor's degree and 2-5 years of relevant experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 29, 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
Franklin, TN
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🧠 - Skills detailed
#Agile #Snowflake #Scala #Microsoft Power BI #Programming #AWS (Amazon Web Services) #Compliance #Informatica Cloud #Database Management #Data Pipeline #Big Data #Data Modeling #Data Quality #Lambda (AWS Lambda) #Cloud #Project Management #SQL (Structured Query Language) #EC2 #Data Integration #Storage #Computer Science #BI (Business Intelligence) #Informatica #Datasets #Python #Data Engineering #Visualization #S3 (Amazon Simple Storage Service) #Java #"ETL (Extract #Transform #Load)" #Data Storage #Tableau
Role description
Responsibilities:
• Design, develop, and implement data pipelines using Informatica Cloud to facilitate data integration and transformation.
• Collaborate with cross functional teams to gather requirements and translate them into technical specifications.
• Utilize AWS services to build scalable and secure data solutions.
• Implement and manage Snowflake data warehousing solutions to optimize data storage and retrieval.
• Monitor and troubleshoot data pipeline performance, ensuring data quality and reliability.
• Document data processes, architectures, and workflows for future reference and compliance.
• Stay updated with industry trends and best practices in data engineering and cloud technologies.
Mandatory Skills:
• Strong expertise in Informatica Cloud is a deal breaker.
• Proficient in AWS services such as S3, EC2, Lambda.
• Experience with Snowflake data warehousing solutions.
• Solid understanding of ETL processes and data modeling.
• Familiarity with SQL and database management systems.
Preferred Skills:
• Experience with data visualization tools such as Tableau or Power BI.
• Knowledge of programming languages such as Python or Java.
• Familiarity with Agile methodologies and project management tools.
• Experience in working with large datasets and big data technologies.
Qualifications:
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 2 5 years of experience in data engineering or a related role.
• Strong analytical and problem solving skills.
• Excellent communication and teamwork abilities.
Responsibilities:
• Design, develop, and implement data pipelines using Informatica Cloud to facilitate data integration and transformation.
• Collaborate with cross functional teams to gather requirements and translate them into technical specifications.
• Utilize AWS services to build scalable and secure data solutions.
• Implement and manage Snowflake data warehousing solutions to optimize data storage and retrieval.
• Monitor and troubleshoot data pipeline performance, ensuring data quality and reliability.
• Document data processes, architectures, and workflows for future reference and compliance.
• Stay updated with industry trends and best practices in data engineering and cloud technologies.
Mandatory Skills:
• Strong expertise in Informatica Cloud is a deal breaker.
• Proficient in AWS services such as S3, EC2, Lambda.
• Experience with Snowflake data warehousing solutions.
• Solid understanding of ETL processes and data modeling.
• Familiarity with SQL and database management systems.
Preferred Skills:
• Experience with data visualization tools such as Tableau or Power BI.
• Knowledge of programming languages such as Python or Java.
• Familiarity with Agile methodologies and project management tools.
• Experience in working with large datasets and big data technologies.
Qualifications:
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 2 5 years of experience in data engineering or a related role.
• Strong analytical and problem solving skills.
• Excellent communication and teamwork abilities.






