MNTN is looking for a Data Engineer to help build the platform to generate, track and manage key business and client success metrics, enabling rapid insights across all available information to support key teams in designing and building processes around data to explore and realize opportunities.
Requirements
- 5+ years of experience related to data engineering, analysis and modeling complex data
- Strong experience in SQL, data modeling, and manipulating and extracting large data sets.
- Hands-on experience working with data warehouse technologies. Familiarity with building data pipelines and architectures and designing ETL flows.
- Familiarity with data processing frameworks such as Spark
- Experience with programming languages such as Python or Java/Kotlin
- Familiarity with algorithms and systems concepts
- Familiarity with software processes and tools such as Git, CI/CD pipelines, Linux, and Airflow
- Experience with working in a cloud computing environment such as AWS, Azure, or GCP
Responsibilities
- Become the expert on the MNTN ad platform, and data infrastructure and processes that inform operations and engineering at MNTN
- Extract meaningful business insights from data using SQL and other tools
- Create and manage ETL/ELT workflows that transform our billions of raw data points daily into quickly accessible information across our databases and data warehouses
- Organize data and metrics for measurable and trackable confidence in building ad buying and data features and client performance to fulfill agreed-upon quality standards
- Organize visualizations, reporting, and alerting necessary to rapidly illustrate performance, data quality, trends and opportunities
- Investigate critical incidents and ensure that any issues reach resolution by the relevant parties
Other
- Written and verbal communication skills to convey complex technical topics to non-technical audiences across the organization
