Title and Summary

Senior Data Engineer, e-commerce solutions
Overview

Data and Analytics team build internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.
• Are you excited about Data Assets and the value they bring to an organization?
• Are you an evangelist for data driven decision making?
• Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?
• Are you interested in proactively looking to improve data driven decisions for a global corporation?

The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.

Role
• Work closely with global analytics teams to architect, develop, and maintain advanced reporting solutions on large volumes of data to support analytics and reporting needs across products, markets, and services.
• Translate business requirements into tangible solution specifications and high quality, on time deliverables.
• Create repeatable processes to support development of reporting needs.
• Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel, and PowerPoint.
• Apply quality control, data validation, and cleansing processes to new and existing data sources.
• Provide guidance and mentorship to junior team members.

All About You

• 7+ years’ experience in data engineering and management, data mining, data analytics, data reporting, data product development and quantitative analysis.
• Financial Institution or a Payments experience a plus
• Proactive self-starter seeking initiatives to advance.
• Data architecture experience and experience in building data models.
• Experience with data validation, quality control and cleansing processes to new and existing data sources.
• Advanced SQL skills, ability to write optimized queries for large data sets.
• Expert in writing stored procedures, functions and views is preferable.
• Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies
• Exposure to Python, Scala, Hive, Impala, Spark, Cloud, and other related technologies.
• Experience in data pipeline creation via tools such as Alteryx, SSIS etc.
• Advanced knowledge of any of the job scheduling tools such as Apache Airflow, NIFI, and other related tools.
• Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus.
• Experience presenting data findings in a readable and insight driven format. Experience building support decks.
• Must be able to interact with management, internal stakeholders and collect requirements.
• Must be able to perform in a team, use judgment and operate under ambiguity.
• Experience for leading the entire project and manage timely execution of the plan, provide regular update to key stakeholders.

Education

• Bachelor’s or master’s degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred.

Additional Competencies
• Excellent English, quantitative, technical, and communication (oral/written) skills.
• Analytical/Problem Solving
• Team player, excellent communication skills
• In depth technical knowledge, drive, and ability to learn new technologies.
• Strong attention to detail and quality
• Creativity/Innovation
• Self-motivated, operates with a sense of urgency.
• Project Management/Risk Mitigation
• Able to prioritize and perform multiple tasks simultaneously.