Sr AWS Python Developer

Robotic Technologies Automation; Reston (VA); Vor Ort; USD 120.000 - 170.000; Vollzeit

Zusammenfassung

ROBOTIC PROCESS AUTOMATION LLC is seeking a skilled Data Engineer to design and maintain scalable ETL pipelines using Python and PySpark on AWS Glue, while orchestrating workflows with Step Functions and Lambda. The role emphasizes data quality, monitoring, and collaboration with stakeholders.

You will optimize storage in Amazon Redshift, write efficient SQL, and implement event-driven patterns with SNS/SQS, along with Git-based CI/CD and IaC practices.

Qualifikationen

• Proficient in Python and PySpark for large-scale data processing.
• Hands-on experience with AWS services: Lambda, SNS, SQS, Glue, Redshift, Step Functions.
• Solid SQL skills with data modeling and query tuning.
• Experience with ETL best practices, data quality checks, and monitoring/alerting.
• Familiarity with Git and basic DevOps/CI/CD workflows.

Aufgaben

• 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.

Kenntnisse

Python

PySpark

SQL

Data modeling

ETL best practices

Git & CI/CD

Tools

AWS Lambda

AWS SNS

AWS SQS

AWS Glue

Amazon Redshift

AWS Step Functions

Jobbeschreibung

• 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 SQLSQLskills 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

ROBOTIC PROCESS AUTOMATION 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. ROBOTIC PROCESS AUTOMATION 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 ROBOTIC PROCESS AUTOMATION 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