Lead Engineer- Big Data

JC Penney-posted 4 months ago
$110,000 - $172,500/Yr
Full-time • Senior
Dallas, TX
5,001-10,000 employees
Clothing, Clothing Accessories, Shoe, and Jewelry Retailers
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The Lead Engineer - Analytics (Advanced Software Engineer) will report to a Senior Manager - Analytics. Using Big Data technology, you will be responsible for designing, developing, implementing and supporting data analytics solutions utilizing cloud architecture.

  • Lead, build and deliver projects with high impact and cross-portfolio scope, complexity and collaboration with cross-functional teams, both business and technology
  • Identify technical implementation options and issues
  • Play a key role in defining the future Technology architecture and develop roadmaps of the systems, platforms and/or processes for the company across disciplines
  • Provide technical leadership and coaching to other engineers and architects across the organization
  • Act as expert and point of contact in cross-scrum business/technology/domain area
  • Partner and communicate cross-functionally across the enterprise
  • Provide the highest level of expertise for the specification, development, implementation and support of Analytical solutions (e.g. Datameer, Hive, Python, Redshift, Tableau)
  • Explain technical solutions and issues to senior leaders in the company in non-technical, understandable terms
  • Interact with business teams to gather, interpret and understand their business needs and create design specifications
  • Foster the continuous evolution of best practices within the development team to ensure data quality, standardization and consistency
  • Continuously seek Data Lake platform and data ingestion improvement opportunities that ensure optimal use of the environment and improve stability
  • Lead efforts to implement the solutions
  • 10+ years of professional experience
  • 4+ years of experience with Big Data technology and analytics
  • JCPenney business domain knowledge preferred
  • Proficient in query languages such as SQL, Hive
  • Proficient in using Big Data tools (e.g., Hadoop, NoSQL DB, Hbase) and API development and consumption
  • Proficient in data preparation and manipulation using Datameer tool
  • Experience with one or more languages (e.g., Python, Java)
  • Experience with SOA, IaaS, and Cloud Computing technologies, particularly in the AWS environment
  • Experience with Hadoop/Hive, Sqoop and Spark
  • Experience with ETL and ELT data modeling
  • Experience with data visualization tools like Tableau
  • Experience with continuous software integration, test and deployment
  • Experience with agile software development paradigm (e.g., Scrum, Kanban)
  • Ability to work within a dynamic environment with evolving requirements and capability goals
  • Self-motivated. Capable of working with little or no supervision.
  • Maintains up-to-date knowledge in the appropriate technical areas
  • Strong written and verbal communication. Able to present and hold meetings with key business and technology partners, enterprise architects and vendors.
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