Data Engineer

Responsibilities:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
• Solve complex data problems to deliver insights that helps the organization's business to achieve their goals
• Create data products for analytics and data scientist team members to improve their productivity
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
• Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve the organization's productivity as a team
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
• Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Key Skills:

• Bachelor’s degree required; Computer Science, MIS, or Engineering preferred
• 5 years of experience working in data engineering or architecture role, 7+ preferred (3 years with 5 preferred for junior role)
• Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred)
• Experience developing and maintaining data warehouses in big data solutions
• Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
• Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies
• Worked with BI tools such as Tableau, Power BI, Looker, Shiny
• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing,
• structured and unstructured data.
• Big Data Development experience using Hive, Impala, Spark and familiarity with Kafka (Preferred)
• Familiarity with the Linux operating system (Preferred)
• Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Agile/Digital Experience:

• Passionate about Agile software processes, data-driven development, reliability, and experimentation
• Experience working on a collaborative Agile product team

Individual Skills:

• Self-motivated with strong problem-solving and learning skills
• Flexibility to changes in work direction as the project develops
• Excellent communication, listening, and influencing skills

Mindset & Behaviors:

• Demonstrated strong number sense, intellectually curious and willing to adjust position based on additional information
• Strong work ethic ability to work at an abstract level and gain consensus