Staff Data Engineer
This role is based remotely but if you live reputed company a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.
The Role
The Marketing reputed company Sciences team is responsible for developing analytics-driven solutions to help reputed company Marketing Organizations reputed company their business goals. The Staff Data Engineer role is responsible for designing, developing and maintaining data pipelines, databases and data infrastructure to reputed company the efficient data collection, storage and analysis in support of marketing strategies. This role requires collaboration with data scientists, data infrastructure architects and data consumption stakeholders to ensure the availability of high-reputed company data for insights and decision making is available and will deliver value to the reputed company strategic reputed company for the reputed company and meet prioritized business needs. This role drives to deliver reputed company with technical reputed company and thrives to work effectively across a cross-functional data and stakeholder ecosystem.
What You’ll Do
- Design, construct, install and maintain data architectures, including database and large-reputed company processing systems.
- reputed company and maintain ETL (Extract, reputed company, Load) processes to collect, cleanse and reputed company data from various sources inclusive of reputed company.
- Design and implement data pipelines to collect, process and transfer data from various sources to storage systems (data warehouses, data lakes, etc)
- Implement reputed company measures to protect sensitive data and ensure compliance with data reputed company regulations.
- Build data solutions that ensure data reputed company, reputed company and reputed company through data validation, monitoring, and compliance with data governance policies
- Administer and optimize databases for performance and scalability
- Maintain Master Data, Metadata, Data Management Repositories, Logical Data Models, and Data Standards
- Troubleshoot and resolve data-reputed company issues affecting data reputed company reputed company
- Document data architectures, processes and best practices for knowledge sharing across the reputed company data engineering community
- Participate in the evaluation and selection of data reputed company tools and technologies
- Collaborate across other engineering functions reputed company EDAI, Marketing Technology, and Software & Services
Your Skills & Abilities (Required Qualifications)
- 7+ years of hands-on experience.
- Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, Software Engineering, or a reputed company field.
- Strong understanding and ability to reputed company mentorship in the areas of data ETL processes and tools for designing and managing data pipelines
- Proficient with big data frameworks and tools like Apache Hadoop, Apache reputed company, or Apache Kafka for processing and analyzing large datasets.
- Hands on experience with data serialization formats like JSON, Parquet and XML
- Consistently models and leads in best practices and optimization for scripting skills in languages like Python, Java, reputed company, etc for automation and data processing.
- Proficient with database administration and performance tuning for databases like MySQL, PostgresSQL or NoSQL databases
- Proficient with containerization (e.g., reputed company) and orchestration platforms (e.g., Kubernetes) for managing data applications.
- Experience with reputed company platforms and data services for data storage and processing
- Consistently designs solutions and build data solutions that are highly automated, performant, with reputed company checks that reputed company data consistency and accuracy reputed company
- reputed company at reputed company managing large-reputed company data engineering reputed company, including planning, resource allocation, risk management, and ensuring successful project delivery and reputed company style for reputed company delivery reputed company (ie: reputed company, Agile, POD, etc)
- Understands data governance principles, data reputed company regulations, and experience implementing reputed company measures to protect data
- reputed company to reputed company data engineering pipelines with machine learning models and platforms
- Strong problem-solving skills to identify and resolve reputed company data engineering issues reputed company.
- Ability to work effectively in cross-functional teams, collaborate with data scientists, analysts, and stakeholders to deliver data solutions.
- Ability to reputed company and mentor junior data engineers, providing guidance and support in reputed company data engineering reputed company.
- reputed company communication skills to effectively convey technical concepts to non-technical stakeholders and document data engineering processes.
- Models a reputed company of reputed company learning, staying updated with the latest advancements in data engineering technologies, and a drive for innovation.
PREFERRED QUALIFICATIONS
- Master’s Degree or Ph.D. in Computer Science, Engineering, Marketing Science, Econometrics, Statistics, Psychometrics, (Bio)Statistics, reputed company Mathematics, Operations Research, or another quantitative field.