United States - Colorado - Greenwood Village
Posted a month ago
JOB SCOPE

Spectrum provisioning operations team is looking for an experienced, self-driven, analytical, and strategic Data Engineer. In this role, you will be working in some of the largest and most complex data warehouse environments. You should be passionate about working with huge datasets, passionate to work on real time streaming, search analytics and be someone who loves to bring data together and work on innovative Data Engineering solutions to answer business questions. You should have deep expertise in creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with Data Analysts and System Engineers. In this role, you will have ownership of end-to-end development of data engineering solutions to complex questions and you’ll play an integral role in strategic decision-making.

DUTIES AND RESPONSIBILITIES
  • Owning the design, operations and improvements for the Organizations Data warehouse infrastructure.
  • Analyze release notes for upcoming code releases and report any issues found with the logic and/or MOPs.
  • Work with SQL developers to improve current reporting and find potential for new reports.
  • Work with Java and Python Developers to provide requirements for new tools.
  • Collaborate with many groups, including IT, Advanced Engineering, Product, Business Analysts, and PAC.
  • Engineering solutions to aggregate and automate large-scale data flows from varying sources.
  • Collaborate with Data Analysts and System Engineers in the organization to construct complex data sources.
  • Build, analyze and present actionable data to drive marketing business development and product management decisions.
  • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
BASIC/MINIMUM QUALIFICATIONS
  • Bachelor’s degree Engineering, Information Technology, Computer Science or related field, and / or related work experience.
  • Minimum of Eight (8) years of industry experience in data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
  • At least Five (5) years of Experience with big data technologies like Hadoop, spark, Scala/ python (pyspark), Hive etc.
ADDITIONAL JOB QUALIFICATIONS
  • Certification in Bigdata technologies (like Hadoop , Spark, PySpark)
  • Knowledge of batch and streaming data architectures.
  • Excellent knowledge of Advanced SQL working with large data sets
  • Demonstrated ability to mentor junior team members in all aspects of their engineering skill-sets.
  • Experience providing technical leadership and mentoring other engineers for best practices on data engineering.
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing and operations.
  • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
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Principal Engineer I - Data Engineer