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- Architect build and launch new data models that provide intuitive analytics
- Build data expertise and own data quality for allocated areas of ownership
- Define and manage SLA for data sets within your domain
- Design, build and launch extremely efficient and reliable data pipelines (ETL) to move data across a number of platforms including the data warehouse, online caches and real-time systems
- Educate your partners: Use your data and analytics experience to ‘see what’s missing,’ identifying and addressing gaps in their existing systems and processes
- Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
- Manage the delivery of high impact dashboards, tools and data visualizations
- Partner with internal stakeholders to understand business requirements, work with cross-functional data and products teams and build efficient and scalable data solutions
**Minimum Qualifications**:
- 2+ years of experience in the data warehouse space, custom ETL design, implementation and maintenance
- Experience in leading data driven projects from definition through interpretation and execution
- Experience analyzing data to discover opportunities and address gaps
- Experience with data architecture, data modeling, schema design and software development
- Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e., Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar)
- 2+ years of experience in SQL or similar languages, and development experience in at least one language (Python, PHP etc.)
**Preferred Qualifications**:
- Experience with data quality and validation
- Experience with Airflow
- Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
- Experience with more than one coding language
- Experience with SQL performance tuning and E2E process optimization
- Experience with designing and implementing real-time pipelines
