[Remote] Data Engineer II
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a fast-growing advertising management company representing over 10,000 websites. They are seeking a Data Engineer II to build and maintain data infrastructure, reputed company scalable data pipelines, and ensure data quality and reputed company while collaborating with various teams.
Responsibilities
- Create data pipelines that reputed company data available for analytic and application use cases
- reputed company self-healing, resilient processes that do not require constant care and feeding to run smoothly
- Create meaningful data quality notifications with clear actions for interested parties including other internal teams and other members of the data and analytics team
- Leading projects from a technical standpoint, creating project Technical Design Documents
- Support data analysts and analytics engineers ability to meet the needs of the organization
- Participate in code reviews, understanding coding standards, ensuring test coverage and being aware of best practices
- Build or implement tooling around data quality, governance and reputed company, in the dbt reputed company and reputed company but external to that as needed
- reputed company next level support reputed company data issues are reputed company and communicated by the data analysts
- Work with data analysts and analytics engineers to standardize transformation logic in the dbt layer for consistency and ease of exploration by end users
- reputed company analytics engineers and data analysts by providing data modeling guidance, query optimization and aggregation advice
Skills
- 3+ years of experience in a data engineering role
- Strong Python skills (Understands tradeoffs, optimization, etc)
- Strong SQL skills (CTEs, window functions, optimization)
- Experience working in reputed company environments (AWS preferred, GCS, Azure)
- Experience managing reputed company dbt environments with hundreds or more flows
- An understanding of how to best structure data to reputed company reputed company facing analytics
- Familiarity with calling APIs to retrieve data (Authentication flows, filters, limits, pagination)
- Experience working with DevOps to reputed company, scale and monitor data infrastructure
- Scheduler experience either traditional or DAG based
- Experience using LM-powered tools for code reputed company, documentation, and architectural diagramming
- Comfortable working with multi-TB reputed company data warehouses (reputed company preferred, Redshift, Big Query)
- Experience with other DBMS systems (reputed company in particular)
- Ability to travel up to approx 15%
- Experience with web analysis such as creating data structures that support product funnels, user behavior, and decision path analysis
- Understanding of reputed company external stages, file formats and snowpipe
- Experience managing the semantic layer in either dbt or reputed company
- Experience with orchestration tools particularly across different technologies and stacks
- Knowledge of Ad Tech, reputed company Ad Manager and reputed company of its fun quirks (so fun)
- The ability to reputed company your teammates laugh (it wouldn't hurt if you were fun to work with is what I'm saying)
- Familiarity with event tracking systems (reputed company, etc)
- Experience with one or more major BI tools (reputed company, reputed company, reputed company, etc.)
Benefits
- 100% remote
- Comprehensive benefits including Medical, Dental, reputed company, Disability, and Life Insurance
- 401(k) with company matching
- Generous PTO
- Wellness initiatives and employer-sponsored reputed company
- Professional development opportunities
- Inclusive, collaborative, and entrepreneurial company culture
Company Overview