Sr. Data Engineer

Sr. Data Engineer

Location: San Francisco, CA

Experience: 5+

Team: Engineering

Practice: Digital and Data

Write complex data flows using SQL (Vertica, Presto, BigQuery), Scala, R or Python scripts to move data and to provide intuitive analytics.

Use data visualization tools (e.g, Tableau, Zeppelin) to translate data patterns and insights into recommended areas for service improvement.

Apply qualitative and quantitative techniques to model user behavior, identify causal impact and attribution, build and benchmark metrics.

Create and enforce safeguards that limit and track internal access to TwS data.

Improve the data extraction pipeline through data mapping, validation, reconciliation, cleansing, standardization, and integration.

Actively track data quality issues, propose mitigations, and document data proxies.

Audit data sources, understand data dependencies, identify data gaps, and propose changes to extend the scope of analytics platform.

You love writing code and have an expertise in some or all of the following: Data Warehousing, Metrics Development, Visualization, Statistics, Predictive /Descriptive modeling.

SQL proficiency! Experience with big data tools such as Hadoop, BigQuery, Presto, Vertica, Spark, etc.

Strong programming skills with Scala. ETL implementation experience.

Experience using data visualization tools (Tableau, Zeppelin) for story telling.

Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.

You have a sense of urgency, move quickly and ship things.

B.S. and/or M.S. in Computer Science or a related technical field, or equivalent experience.