Gcp Data Engineer

STAND 8 is a global leader providing end-to-end IT Solutions. We solve business problems through PEOPLE, PROCESS, and TECHNOLOGY and are looking for individuals to help us scale software projects designed to change the world!
The Data Engineer should demonstrate an innate curiosity and enthusiasm for constructing intelligent data pipelines, data structures, and data products. Additionally, they must excel in effectively communicating data structures and tools across the organization. The ideal candidate will work closely with BI, Research, Engineering, Marketing, Finance, and Product teams to implement data-driven plans that drive the business.
Responsibilities

• Works with large volumes of traffic data and user behaviors to build pipelines that enhance 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 approach around data ingestion, structure, and storage. Then, work with the team to ensure these are implemented correctly.
• Contributing 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 collaboration with the team on internal initiatives to create strategies that improve company processes.
• Look at ways of improving efficiency by staying current on the latest technology and trends and introducing team members to such.
• Develop prototypes to proof out strategies for data pipelines and products.
• Mentor members of the team and department on best practices and approaches.
• Lead initiatives in ways to improve the quality of our data as well as make the data more effective, with other members of engineering, BI teams, and business units to implement changes.
• Able to break down and communicate highly complex data problems into simple, feasible solutions.

Requirements

• Bachelor's degree and 3+ years of work experience in Data Engineering and Analytics fields or consulting roles with a focus on digital analytics implementations.
• Experience with large scale data warehouse management systems such as BigQuery for 1+ years with advanced level understanding of warehouse cost management and query optimization
• Proficient in Python.
• Experience with Apache Airflow or equivalent tools for orchestration of pipelines.
• Able to write SQL to perform common types of analysis and transformations.
• Strong problem-solving and creative-thinking skills.
• 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.
• Exceptional 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 with ETL & ELT.
• Experience building and deploying applications on GCP cloud platform.
• Builds strong commitment within the team to support the appropriate team priorities
• Stays current with new and evolving technologies via formal training and self-directed education

Desired qualifications

• Experience with Snowflake, Redshift and other AWS technologies.
• Experience with Docker and container deployment.
• Influences and applies data standards, policies, and procedures
• Experience with Data Modeling of performant table structures.
• Experience with Marketing tools like Kochava, Braze, Branch, Salesforce Marketing Cloud is a plus.
• Experience with exploratory data analysis using tools like iPython Notebook, Pandas & matplotlib, etc.
• Familiarity in Hadoop pipelines using Spark, Kafka.
• Familiar with GIT.
• Familiar with Adobe Analytics (Omniture) or Google Analytics.
• Digital marketing strategy including site, video, social media, SEM, SEO, and display advertising.

The US base range for this contract position is $71-$81/hour. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.