AI Technologies LLC.
Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms
Orchestrate workflows with AWS Step Functions and serverless components (Lambda)
Implement messaging and event-driven patterns using AWS SNS and SQS
Design and optimize data storage and querying in Amazon Redshift
Write performant SQL for data transformations, validation, and reporting
Ensure data quality, monitoring, error handling and operational support for pipelines
Collaborate with data consumers, engineers, and stakeholders to translate requirements into solutions
Contribute to CI/CD, infrastructure-as-code, and documentation for reproducible deployments
Required skills and experience:
Strong experience with Python and Pyspark for large-scale data processing
Proven hands‑on experience with AWS services: Lambda, SNS, SQS, Glue, Redshift, Step Functions
Solid SQL skills and familiarity with data modeling and query optimization
Experience with ETL best practices, data quality checks, and monitoring/alerting
Familiarity with version control (Git) and basic DevOps/CI-CD workflows
AI TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. AI TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AI TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
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Orchestrate workflows with AWS Step Functions and serverless components (Lambda)
Implement messaging and event-driven patterns using AWS SNS and SQS
Design and optimize data storage and querying in Amazon Redshift
Write performant SQL for data transformations, validation, and reporting
Ensure data quality, monitoring, error handling and operational support for pipelines
Collaborate with data consumers, engineers, and stakeholders to translate requirements into solutions
Contribute to CI/CD, infrastructure-as-code, and documentation for reproducible deployments
Required skills and experience:
Strong experience with Python and Pyspark for large-scale data processing
Proven hands‑on experience with AWS services: Lambda, SNS, SQS, Glue, Redshift, Step Functions
Solid SQL skills and familiarity with data modeling and query optimization
Experience with ETL best practices, data quality checks, and monitoring/alerting
Familiarity with version control (Git) and basic DevOps/CI-CD workflows
AI TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. AI TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AI TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
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