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Aws certification Jobs in Ventura, CA
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Aws certification • ventura ca
Lead Data Engineer - AWS
Tiger AnalyticsOxnard, CA, United States- Promoted
Certification Content Developer
VirtualVocationsSan Buenaventura, California, United States- Promoted
Behavior Technician – Learn & Grow with Paid Certification
ABS KidsOxnard, California, United States- psychiatrist (from $ 25,000 to $ 325,000 year)
- plans examiner (from $ 89,525 to $ 258,303 year)
- forensic pathologist (from $ 196,132 to $ 249,159 year)
- software architect (from $ 137,500 to $ 241,500 year)
- medical liaison (from $ 212,888 to $ 222,352 year)
- platform engineer (from $ 130,676 to $ 218,875 year)
- associate creative director (from $ 150,000 to $ 210,600 year)
- solutions architect (from $ 142,200 to $ 205,899 year)
- product management (from $ 147,500 to $ 205,000 year)
- cyber security (from $ 107,500 to $ 203,063 year)
The average salary range is between $ 128,200 and $ 176,740 year , with the average salary hovering around $ 134,200 year .
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Lead Data Engineer - AWS
Tiger AnalyticsOxnard, CA, United States- Full-time
Lead Data Engineer
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
As a Lead Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have strong experience with AWS services, Databricks, and Apache Airflow.
Key Responsibilities :
- Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
- Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements.
- Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.
- Lead the migration of legacy data systems to modern cloud-based architectures.
- Develop and maintain CI / CD pipelines for data workflows.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.
- Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.