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Senior Data Engineer in Eden Prairie, MN at Lifetouch National School Studios Inc.

Date Posted: 11/15/2018

Job Snapshot

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Job Description

Lifetouch has an exciting opportunity for an experienced Data Engineer to join our dynamic Data warehouse team.

Job Duties and Responsibilities:

  • Provide hands on coding between 60-80% depending on the size of the project.
  • Document and develop in-depth knowledge of assigned domain architecture, hardware and network infrastructure, and technology portfolio.
  • Overall technical implementation and quality of assigned projects and technical domain.
  • Strong verbal and written communication skills with the ability to translate business needs into technical requirements. Building strong relationships; collaborating and influencing others within IT and across the organization.
  • Improve overall development and deployment process, including Continuous Integration and Business-Driven Development.
  • Lead, refine and ensure application development processes are in alignment with the goals of Application Architecture, Quality Assurance and Change Management.
  • Mentor other team members, complete software development duties, assist in technical designs, unit testing and code reviews.
  • Lead establishment of standards/best practices for big data development activities.


  • Minimum of eight years related experience and/or training; or equivalent combination of education and experience.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Effectively work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Ensure company data is separate and secure across national boundaries through multiple data centers and AWS regions.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
  • Strong project management and organizational skills.
  • Proven experience with Agile/Scrum methodology.
  • Proven experience supporting and working with cross-functional teams in a dynamic environment.

Education Bachelor's Degree in Computer Science, MIS or Business Administration.

Required Experience

  • Experience with relational SQL and NoSQL databases, including Oracle, Postgres, and Cassandra.
  • Experience with ETL Tools: Informatica, Oracle Data Integrator, Talend, etc.
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with programming/scripting languages: R, Python, Scala, etc.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with BI and reporting tools: Tableau, Qlik, Pentaho Business Analytics, etc.