Immediately Require Lead Data Engineer - AWS (Work from Home) in USA
Job title: Lead Data Engineer - AWS (Work from Home)
Company: Transamerica
Job description: Job Family IT Operations
Who We Are
Transamerica has been helping people feel better about the future for more than 100 years. We provide investment, retirement, and life insurance solutions to more than 11 million customers throughout the U.S. But the way we see it, our responsibility goes beyond our clients accounts. Were in the business of helping people live well and empowering them to create a better tomorrow through the financial and health-related habits they form today. We help people prepare by providing solutions that consider the whole picture.
What We Do
Transamerica is organized by lines of business (Life Insurance, Annuities, Mutual Funds, Retirement Plans, Employee Benefits, and Financial Assets), which are supported by Transamerica Corporate (Corporate Development; Finance; Internal Audit; Legislative, Regulatory & Policy; Office of the CEO; People, Places & Brand; Risk; and Technology).
Job Description Summary The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise.
Job Description
Responsibilities
- Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment:
- Architect, build, and support the operation of AWS Cloud data infrastructure and tools.
- Design robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data.
- Lead the development of data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.
- Assist the selection and integration of data related tools, frameworks and applications required to expand platform capabilities.
- Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.
- Bachelors degree in computer science, math, engineering, or relevant technical field
- Five years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies
- Four years of experience architecting, building, and administering big data and real-time streaming analytics architectures in on-premises and cloud environments
- Three years of experience architecting, building and administering large-scale distributed applications
- Three years of experience with Linux operations and development, including basic commands and shell scripting
- Three years of experience executing DevOps methodologies and continuous integration/continuous delivery
- Demonstrated skills in delivery of high-quality technical project solutions.
- Expertise in SQL for data profiling, analysis, and extraction
- Familiarity with data science techniques and frameworks
- Strong technical communication skills
- Masters degree in a technical field (e.g. computer science, math, engineering)
- Understanding of big data and real time streaming analytics processing architecture and ecosystems
- Experience with data warehousing architecture and implementation, including hands on experience with source to target mappings and developing ETL code
- Experience with advanced analytics and machine learning concepts and technology implementations
- Relevant technology or platform certification (AWS, Microsoft, etc.)
- Software development experience in relevant programming languages (e.g. Java, Python, Scala, Node.js)
- Office environment
- Work outside of normal business hours may be required
- Moderate travel