Senior AWS Developer
Role: Senior AWS Developer
Location: Remote
AWS Developer role builds real-time applications processing a huge volume of data using AWS Services like Glue, Redshift, and Step Functions
Responsibilities:
• Gather and document business requirements.
• Work with customers to identify the best solution for meeting business requirements.
• Design and build scalable ETL/ELT pipelines using AWS Glue
• Automate and orchestrate workflows using AWS Step Functions, Glue Workflows, and Lambda.
• Develop and maintain data ingestion frameworks for batch and near-realtime processing.
• Build, optimize, and maintain Amazon Redshift clusters, schemas, and queries.
• Manage and optimize data models supporting analytics and reporting workloads.
Requirements:
• 10+ years of software development experience with at least 5+ years of experience in Data Engineering in AWS/Cloud environment
• Strong expertise in:
• Amazon Redshift (SQL, performance tuning, data modeling)
• AWS Glue (ETL jobs, Glue Catalog, Crawlers, PySpark)
• AWS Step Functions (workflow orchestration)
• Proficiency in Python, SQL, and distributed data processing (PySpark).
• Experience with S3, Lambda, CloudWatch, IAM, and EventBridge.
• Understanding of data lakes, data warehouses, and modern analytics architecture.
• Strong problem-solving and analytical skills.
• Ability to work independently and collaboratively.
• Excellent communication and documentation skills.
Apply tot his job
Apply To this Job
Location: Remote
AWS Developer role builds real-time applications processing a huge volume of data using AWS Services like Glue, Redshift, and Step Functions
Responsibilities:
• Gather and document business requirements.
• Work with customers to identify the best solution for meeting business requirements.
• Design and build scalable ETL/ELT pipelines using AWS Glue
• Automate and orchestrate workflows using AWS Step Functions, Glue Workflows, and Lambda.
• Develop and maintain data ingestion frameworks for batch and near-realtime processing.
• Build, optimize, and maintain Amazon Redshift clusters, schemas, and queries.
• Manage and optimize data models supporting analytics and reporting workloads.
Requirements:
• 10+ years of software development experience with at least 5+ years of experience in Data Engineering in AWS/Cloud environment
• Strong expertise in:
• Amazon Redshift (SQL, performance tuning, data modeling)
• AWS Glue (ETL jobs, Glue Catalog, Crawlers, PySpark)
• AWS Step Functions (workflow orchestration)
• Proficiency in Python, SQL, and distributed data processing (PySpark).
• Experience with S3, Lambda, CloudWatch, IAM, and EventBridge.
• Understanding of data lakes, data warehouses, and modern analytics architecture.
• Strong problem-solving and analytical skills.
• Ability to work independently and collaboratively.
• Excellent communication and documentation skills.
Apply tot his job
Apply To this Job