AWS Data Engineer - AWS Glue Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer - AWS Glue Developer in Bengaluru, with a 6-month contract at ₹1 LPM. Candidates should have 6-8 years of experience, strong skills in Python, AWS Glue, SQL, and data modeling, and a Bachelor's degree in Computer Science.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
-
🗓️ - Date discovered
September 26, 2025
🕒 - Project duration
More than 6 months
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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
Indiana
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🧠 - Skills detailed
#Database Migration #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #Computer Science #Scala #SQL (Structured Query Language) #EC2 #Python #Data Extraction #IAM (Identity and Access Management) #AWS Glue #Data Engineering #Data Modeling #AWS S3 (Amazon Simple Storage Service) #Data Ingestion #Migration #OpenSearch
Role description
Job Title : AWS Data engineer - AWS Glue developer Locations Bengaluru Minimum Experience 6 Maximum Experience 8 Experience: 6 to 8 Years Project Duration 6 months Type of Employment : Contract Rate Card: 1 LPM Mandatory Skills : Python, AWS Glue, SQL, AWS S3, AWS OpenSearch Service, AWS secret manager Skill to Evaluate: Python,--AWS-Glue,-SQL,--AWS-S3,-AWS-Opensearch-Service,-AWS-secret-manager Job Description We are seeking an experienced and detail-oriented AWS Glue Developer with 3–5 years of experience in building and managing ETL pipelines using AWS Glue, Python, and SQL. The ideal candidate will have strong data modeling skills, proficiency with core AWS services, and experience working with multi-account AWS environments. Excellent communication and collaboration skills are essential for success in this role. Education Qualification Bachelor's Degree in Computer Science or related field Open Positions : 1 Roles & Responsibilities Design, develop, and maintain robust, scalable ETL pipelines using AWS Glue (Glue Jobs, Crawlers, Workflows). Write efficient, production-grade Python and SQL code for data extraction, transformation, and loading. Build and optimize data models for analytical and operational workloads . Integrate and manage data ingestion from multiple AWS accounts securely using cross-account roles and policies. Work with AWS services including S3, IaaS on EC2, IAM and Database migration services Collaborate with architects, analysts, and business users to understand data requirements and translate them into technical solutions. Ensure data consistency, quality, and integrity across environments. Monitor, troubleshoot, and optimize Glue jobs for performance and cost-efficiency. Document ETL processes, data flows, and architectural decisions. Clearly communicate technical information to both technical and non-technical stakeholders. Project Details Seeking a AWS Data Engineer to migrate and consolidate data from three existing SPE marketing applications into a single unified platform.
Job Title : AWS Data engineer - AWS Glue developer Locations Bengaluru Minimum Experience 6 Maximum Experience 8 Experience: 6 to 8 Years Project Duration 6 months Type of Employment : Contract Rate Card: 1 LPM Mandatory Skills : Python, AWS Glue, SQL, AWS S3, AWS OpenSearch Service, AWS secret manager Skill to Evaluate: Python,--AWS-Glue,-SQL,--AWS-S3,-AWS-Opensearch-Service,-AWS-secret-manager Job Description We are seeking an experienced and detail-oriented AWS Glue Developer with 3–5 years of experience in building and managing ETL pipelines using AWS Glue, Python, and SQL. The ideal candidate will have strong data modeling skills, proficiency with core AWS services, and experience working with multi-account AWS environments. Excellent communication and collaboration skills are essential for success in this role. Education Qualification Bachelor's Degree in Computer Science or related field Open Positions : 1 Roles & Responsibilities Design, develop, and maintain robust, scalable ETL pipelines using AWS Glue (Glue Jobs, Crawlers, Workflows). Write efficient, production-grade Python and SQL code for data extraction, transformation, and loading. Build and optimize data models for analytical and operational workloads . Integrate and manage data ingestion from multiple AWS accounts securely using cross-account roles and policies. Work with AWS services including S3, IaaS on EC2, IAM and Database migration services Collaborate with architects, analysts, and business users to understand data requirements and translate them into technical solutions. Ensure data consistency, quality, and integrity across environments. Monitor, troubleshoot, and optimize Glue jobs for performance and cost-efficiency. Document ETL processes, data flows, and architectural decisions. Clearly communicate technical information to both technical and non-technical stakeholders. Project Details Seeking a AWS Data Engineer to migrate and consolidate data from three existing SPE marketing applications into a single unified platform.
