FC
Ford Motor CompanySecurity Systems Data Integration Specialist
Data Analyst joining Ford's team to focus on security technologies and data integration. Responsible for improving data operations across global infrastructure and complex requests.
About the role
- Design, build, and fine-tune data pipelines to load data into data warehouse from sources like databases, cloud storage, or streaming platforms.
- Analyze and refactor existing Python-based file ingestion processes.
- Troubleshoot pipeline failure and implement quality checks, retries, and safeguards to prevent pipeline failures.
- Reduce manual intervention through automation in data pipelines.
- Create detailed runbooks documenting existing and new data platform processes.
- Add unit tests to improve reliability and maintainability.
- Design modular, reusable Python code via IaC that will be able to deploy AWS resources and build data platform components.
- Assist with Data architecture, building and validating data architecture.
- Contribute to the design, development, testing, deployment, and support of data pipelines and warehouses in a cloud environment.
- Build and maintain data platform with goal of scalability and validation.
- Advocate engineering best practices, including the use of design patterns, code review, and automated unit/functional testing.
- Collaborate efficiently with product management, technical program management, operations, and other engineering teams.
Requirements
- Minimum 3+ years of related experience in Cloud development crafting and implementing solutions using AWS services, with understanding of IAM, S3, ECS, Lambda, SNS
- Strong programming skills in Python and other object-oriented languages, including libraries such as pandas, pydantic, and polars
- Experience using source control systems (GitLab, GitHub) and CI/CD pipelines
- Experience working with IAC, such as Terraform, CloudFormation, AWS CDK
- Experience in SQL (Postgres, Snowflake, etc.) and understanding of trade-offs between different data storage systems and architectures
- Experience with scripting using BASH, or SHELL
- Experience creating orchestration patterns and infrastructure using Apache Airflow, or other orchestration tools (preferred)
- Experience using Queuing tech, such as SQS, RabbitMQ, Kafka, Kinesis (preferred)
- Experience with data pipeline creation (preferred)
- Experience with security protocols or related data (preferred)
- Experience with AGILE/Scrum practices (preferred)
- Experience building, maintaining and using container technologies, such as Docker, Kubernetes, AWS Fargate (preferred)
- Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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FC
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