Senior AWS Cloud Architect

2 days ago

India Matrix USA Full time
Job Overview We are seeking an experienced AWS Developer proficient in Python and PySpark to design, develop, and maintain scalable, serverless data processing and workflow automation solutions on AWS. The ideal candidate will build Lambda functions, Step Functions, Glue ETL jobs, and integrate various AWS services to support complex data pipelines and backend logic.

Develop, deploy, and maintain AWS Lambda functions using Python to implement backend logic, file transformations, API integrations, and event-driven triggers from S3, EventBridge, DynamoDB, and SNS.
Design and manage AWS Step Functions to orchestrate complex workflows that involve multiple Lambda functions, AWS Glue jobs, and external API calls.
Integrate Step Functions with external systems and AWS services such as SNS and EventBridge using native service integrations.
Develop and maintain AWS Glue jobs and PySpark scripts for batch ETL processes, data transformations, and format conversions (e.g., Utilize Glue Crawlers to automate metadata cataloging and manage datasets within the AWS Glue Data Catalog.
Perform data processing workflows moving data from raw to enriched states using AWS Glue, S3, RDS, DynamoDB, Athena, and other services as required.
Collaborate with cross-functional teams to implement scalable data solutions and troubleshoot production issues.

AWS Services Experience
AWS Glue (jobs, crawlers, Data Catalog)
AWS Lambda
AWS Step Functions
Amazon RDS (SQL Server)
Amazon EC2, EKS, Network Load Balancer (NLB)

Strong proficiency in Python and PySpark programming for data processing and ETL development.
Solid understanding of core programming concepts, including error handling, retry logic, and asynchronous workflows.
Hands-on experience developing serverless applications using AWS Lambda and related services.
Experience building and orchestrating complex workflows using AWS Step Functions.
Expertise in creating and managing AWS Glue ETL pipelines, including writing Glue scripts in PySpark and Python shell jobs.
Familiarity with AWS data services like S3, DynamoDB, Athena, and RDS for storage and querying.
Ability to design scalable, fault-tolerant, and maintainable cloud-native data solutions.
Experience working in Agile environments and collaborating with technical and business stakeholders.

We're a network of firms in 10+ countries with over 13,000 people. Our wide range of services includes cutting-edge technology solution services, strategic consulting, digital transformation, cloud computing, cybersecurity, and managed services. Whether it's developing customized software applications, streamlining business processes, implementing robust IT infrastructure, or managing complex projects, our expertise and industry knowledge enable us to deliver value-added solutions that meet each client's unique requirements.
Matrix offers a competitive base salary and a full benefit package. Benefits include medical, dental, 401K, STD, HSA, PTO, and more.

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