As a Data Engineer, you will work closely with a multidisciplinary agile team to build high-quality data pipelines driving analytic solutions.
These solutions will generate insights from our connected data, enabling us to advance the data-driven decision-making capabilities of our enterprise.
This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.
The ideal candidate is a skilled data/ software engineer with experience creating data products supporting analytic solutions.
They are an agile learner, possess strong problem-solving skills, work as part of a technical, cross-functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy.
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 help our 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 processes for analytic data engineering in order to improve our 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.
5 years of experience working in data engineering or architecture role, 7+ preferred.
Expertise in SQL and data analysis and experience with at least one programming language (Python/ PySpark 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 data lake 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.
Experience working on a collaborative Agile product team.
Passionate about Agile software processes, data-driven development, reliability, and experimentation.
Self-motivated with strong problem-solving and learning skills.
Flexibility to changes in the work directly as the project develops.
Excellent communication, listening, and influencing skills.
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.
Bachelor’s degree required; Computer Science, MIS, or Engineering preferred.