Sr Data Engineer

• This team is made up of varying engineering roles including Data & Data Product Engineering and is responsible for driving the data strategy and standard methodologies for data collection, pipelines, usage, and infrastructure.
• The Data Engineer should possess a deep sense of curiosity and a passion for building more inquisitive products based on data, and the ability to communicate data constellations and tools throughout the organization.
• The candidate for this role will use their skills in reverse engineering, analytics, and creative, experimental solutions to devise data and BI solutions.
• This engineer supports data pipeline development which includes machine learning algorithms using disparate data sources.
• The ideal candidate will also work with BI, Research, Engineering, and Product and Finance teams to implement data-driven plans that drive the business.

• Works with large volumes of traffic data and user behaviors to build pipelines that improve raw data.

• Able to break down and communicate highly complex data problems into simple, feasible solutions.

• Extract patterns from large datasets and transform data into an informational advantage.

• Find answers to business questions via hands-on exploration of data sets via Jupyter, SQL, dashboards, statistical analysis, and data visualizations.

• Partner with the internal product and business intelligence teams to determine the best approaches around data ingestion, structure, and storage. Then, collaborate with technology field partners to ensure these are implemented accurately.

• Supplying ideas on how to make our data more effective and working with other members of the engineering, BI teams, and business units to implement changes.

• Ongoing development of technical solutions while developing and maintaining documentation, at times training impacted teams.

• Early on, collaborate with the team on internal initiatives to create strategies that improve company processes.

BASIC QUALIFICATIONS:

• String work experience in Analytics/Measurement/Data Operations fields or consulting roles with a focus on digital analytics implementations.

• Familiarity with data management systems, both relational and NoSQL (e.g., BigTable, HBase, Cassandra, MongoDB)

• Proficient in Python and SQL.

• Familiarity with SQL skills for BigQuery, MySQL, and Postgres to perform common types of analysis

• Experience with exploratory data analysis using tools like iPython Notebook, Pandas & matplotlib, etc.

• Strong problem-solving and creative-thinking skills.

• Ability to break down and communicate highly complex data problems as simple, feasible solutions • Demonstrated development of ongoing technical solutions while developing and maintaining documentation, at times training impacted teams.

• Experience developing solutions to business requirements via hands-on discovery and exploration of data.

• Robust written and verbal communication skills, including the ability to communicate technical concepts to non-technical audiences, as well as translating business requirements into Data Solutions

• Experience building and deploying applications on a cloud platform (Google Cloud Platform preferred)

ADDITIONAL QUALIFICATIONS:

• Experience with Marketing tools like Kochava, Braze, Branch, Salesforce Marketing Cloud is a plus.

• Experience with Apache Airflow is a plus.

• Familiarity with Data Modelling.

• Familiar with GIT.

• Can perform statistical analyses using tools such as R, Numpy/SciPy with Python

• Experience with Adobe Analytics (Omniture) or Google Analytics.

• Digital marketing strategy including site, video, social media, SEM, SEO, and display advertising.

• Familiarity with ELT/ETL concepts.