Intermediate Data Engineer (Work from Home)
TransamericaAbout the role
Job Family
IT OperationsAbout Us
At Transamerica, hard work, innovative thinking, and personal accountability are qualities we honor and reward. We understand the potential unleashed by leveraging the talents of a diverse workforce. We embrace an environment where employees enjoy a balance between their careers, families, communities, and personal interests.
Ultimately, we appreciate the uniqueness of a company where talented professionals work collaboratively in a positive environment — one focused on helping people look forward and plan for the best life possible while providing tools and solutions that make it easier to get there.
Transamerica is a part of Aegon, an integrated, diversified, international financial services group. The Aegon companies employ over 21,500 people and have approximately 31.7 million customers.* For more information, visit www.transamerica.com.
Who We Are
Transamerica has been making financial services available to the many, not just the few, for more than 100 years. We’re a leading provider of life insurance, retirement, and investment solutions, serving millions of customers throughout the United States. Transamerica’s dedicated professionals focus on helping people live their best lives through saving, investing, and protecting their loved ones. Transamerica is dedicated to building America’s leading middle market life insurance and retirement company, providing a broad range of quality individual life insurance policies, workplace supplemental insurance benefits, workplace retirement plans, individual retirement accounts, and investment products, including mutual funds, annuities, stable value solutions, as well as investment management services.
What We Do
Transamerica is organized by lines of business (Life Insurance, Annuities, Mutual Funds, Retirement Plans, and Employee Benefits), which are supported by Transamerica Corporate (Corporate Development; Finance; Internal Audit; Legislative, Regulatory & Policy; Office of the CEO; People and Places; Brand; Corporate Affairs; Risk; and Technology).
Job Description Summary
The Intermediate Data Engineer is responsible for the development 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.
- Build and support the operation of Cloud and On-Premises enterprise data infrastructure and tools.
- Design robust, reusable and scalable data driven solutions, and data pipeline frameworks to automate the ingestion, processing and delivery of structured and unstructured batch and real-time streaming data.
- Build data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.
- Assist in 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.
Qualifications
- Bachelor’s degree in computer science, math, engineering, or relevant technical field
- Two years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies
- One year of experience developing and supporting modern data architectures
- One year of experience developing and supporting large-scale distributed applications
- One year of experience with Linux operations and development, including basic commands and shell scripting
- One year of experience with execution of DevOps methodologies and continuous integration/continuous delivery
- One or more years of experience and proficiency in AWS Cloud Service, Python and Sql for data profiling, analysis and extraction.
- Results oriented with a strong customer focus
- Ability to work within a team environment
- Ability to prioritize and meet tight deadlines
- Ability to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables
Preferred Qualifications
- Master’s degree in a technical field (e.g. computer science, math, engineering)
- Understanding of big data and real time streaming analy
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