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Urgently Hiring Aws Python Developer Jobs in Florida

Black Cape

Python Data Engineer

Tampa, FL · On-site

... DevOps. What we are hiring: Our program supporting SOCOM needs onsite engineers to work on python ... Experience with AWS Console including but not limited to lite management of EC2 instances

Black Cape

Python Data Engineer

Tampa, FL · On-site

... DevOps. What we are hiring: Our program supporting SOCOM needs onsite engineers to work on python ... Experience with AWS Console including but not limited to lite management of EC2 instances

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Urgently Hiring Aws Python Developer information

What is the difference between Urgently Hiring Aws Python Developer vs Cloud Software Engineer?

AspectUrgently Hiring Aws Python DeveloperCloud Software Engineer
Required SkillsPython, AWS services, cloud deploymentPython, cloud platforms (AWS, Azure), DevOps
Work EnvironmentFast-paced, project-based, cloud-focusedDevelopment, deployment, cloud infrastructure management
Industry UsageTech, startups, cloud service providersTech, enterprise, SaaS companies

Urgently Hiring Aws Python Developer roles focus on quick deployment and cloud-based Python applications, often in fast-paced environments. Cloud Software Engineers have a broader scope, including designing and managing cloud infrastructure across multiple platforms. Both roles require cloud and Python skills but differ in scope and urgency.

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The most popular types of Aws Python Developer jobs in Florida are:

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Urgently Hiring Aws Python Developer jobs near you

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 25 days ago

Job description

ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_
Candidate BeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Thomas Hodges
Targeted - -hr
REQUIREMENT_CITY - Malvern, PA
REQUIREMENT_ID-10695809
Role Name - Senior Data Engineer (AWS, Python)
ROLE_DESCRIPTION -
Key Responsibilities
Build and maintain event-driven data pipelines using AWS services such as Kinesis, MSK/Kafka, Lambda, Step Functions, SQS/SNS, and Glue/EMR.
Develop ETL/ELT workflows using Python and PySpark, ensuring performance, scalability, and cost efficiency.
Implement and optimize Spark-based data transformations, partitioning strategies, and data processing frameworks.
Design and manage data lake and warehouse structures using S3, Glue Catalog, Athena, and/or Redshift.
Build streaming solutions with checkpointing, stateful transformations, idempotency, and schema evolution.
Ensure high standards of data quality, observability, monitoring, and alerting (CloudWatch, Datadog, etc.).
Implement data security best practices including IAM, encryption (KMS), networking, and governance.
Create reusable frameworks, internal libraries, and CI/CD pipelines for automated deployments.
Collaborate with data scientists, analysts, and business teams to deliver well-modeled, reliable datasets.
Lead design reviews, mentor junior engineers, and contribute to engineering best practices.
Required Qualifications
Overall 10+ yrs of experience
7+ years of professional experience in Data Engineering.
Experience of working on Java is an advantage
Strong expertise in Python and PySpark for large-scale data processing.
Advanced hands-on experience with AWS (S3, Glue, EMR, Lambda, Step Functions, Kinesis/MSK, DynamoDB, Athena, Redshift).
Deep experience building event-driven and streaming data pipelines.
Strong SQL experience for analytical and ETL workloads.
Hands-on experience with workflow orchestration tools such as Airflow or Step Functions.
Experience with CI/CD, Git, and Infrastructure-as-Code (Terraform or CloudFormation).
Strong understanding of distributed systems, Spark performance tuning, data modeling, and cloud cost optimization.
Knowledge of data security, encryption, networking, and compliance best practices in cloud environments
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Advanced Java Concepts~Digital : Spring Boot~Angular 13+~Core Java
Experience Required: 8-10, Project Code :

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