Lead Data Engineer
Beacon Technologies, Inc.
Lead Data Engineer Beacon Technologies is seeking a Lead Data Engineer for our client partner. This is a hybrid role located in Madison, WI. Primary Accountabilities:
- Leads an engineering team to meet project deadlines and priorities.
- Supervises assigned data engineering team members & activities.
- Ensures the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle.
- Documents critical workflows and operational support aspects of team's responsibilities
- Develops deep understanding of data sources, granularity, availability, and limitations.
- Provides proactive technical oversight and advice to application architecture and development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions.
- Creates maintainable, scalable code to load and manipulate data in the data warehouse.
- Facilitates communication upward and across project teams and business stakeholders.
- Demonstrated experience providing customer-driven solutions, support or service.
- Must have GCP experience for this position.
- In-depth knowledge of SQL or NoSQL and experience using a variety of data stores (e.g. RDBMS, analytic database, scalable document stores)
- Extensive hands-on Python programming experience, with an emphasis towards building ETL workflows and data-driven solutions.
- Able to employ design patterns and generalize code to address common use cases.
- Capable of authoring robust, high quality, reusable code and contributing to the division's inventory of libraries.
- Expertise in big data batch computing tools (e.g. Hadoop or Spark), with demonstrated experience developing distributed data processing solutions.
- Knowledge of open-source machine learning toolkits, such as sklearn, SparkML, or H2O.
- Solid data understanding and business acumen in the data rich industries like insurance or financial
- Applied knowledge of data modeling principles (e.g. dimensional modeling and star schemas).
- Strong understanding of database internals, such as indexes, binary logging, and transactions.
- Experience using tools for infrastructure-as-code (e.g. Docker, CloudFormation, Terraform, etc.)
- Experience with software engineering tools and workflows (i.e. Jenkins, CI/CD, git).
- Practical experience authoring and consuming web services.
Vacancy posted 1 day ago
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