About the Position

The Sr Data Engineer will develop and support next generation architecture for the advanced supply chain analytics offering, covering both Data Engineering and Business Intelligence (BI). The job will design, create, manage, and use of large datasets across a variety of data platforms. The position crafts, implements, and operates stable, scalable, low-cost solutions to replicate data from production systems into the BI data store. 

Functions

• Partner with key distribution, transportation, and material handling business managers to design and implement efficient and scalable Extract, Transform, Load (ETL) solutions
• Assist in developing and improving the current ETL/BI architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility
• Design low latency data architectures at scale to enable data driven decision-making
• Delivery of performant and scalable data products and platforms, both Online Transactional Processing (OLTP) and Online Analytical Processing (OLAP), to consume, process, analyze and present data from the data ecosystem, while driving data engineering best practices
  Ensure the integrity and uninterrupted processing of batch and real-time data pipelines to ingest and process data from various internal data sources and third-party platforms
  Work closely with Data Science and Business Intelligence team to develop and maintain company-level Key Performance Indicators (KPIs), accompanying core metrics and develop architecture to drive business growth

Qualifications

• Bachelor’s degree in Computer Science.  Master’s or PhD degrees preferred
  8-10 years Data Engineering experience: proven track record working with large datasets and closely working with data analysts, software and infrastructure engineers
• Expert level skills writing/optimizing complex SQL and schema buildout with structured and unstructured data, including star schemas, constellations, and snowflake schemas
  Proficiency with languages like Python, Ruby, or Java
  Strong background in working with Big Data technologies like: Spark, Kafka, Hadoop, etc.
• Experienced in developing and delivering on technical roadmaps and architectures for platforms or cross-functional problems that impact multiple teams
• Experience in creating data warehousing, data lakes, and data marts
  Experience in data mining, profiling, and analysis
  Experience with workflow orchestration tools and rules-driven process automation engine systems
• Good understanding of Continuous Integration (CI)/ Continuous Delivery (CD) principles
• Demonstrated track record of dealing with ambiguity, prioritizing needs, and delivering results in a dynamic business environment
• Proven ability to develop unconventional solutions; Sees opportunities to innovate and leads the way
• Experienced in designing data solutions utilizing AWS cloud data platforms and tools
• Experience in creating scalable architecture to enable development of data driven products preferred
• Experience in creating/supporting decision support dashboard/product preferred
• Experience in mentoring BI or ETL team preferred

Competencies

• Business Acumen - Knowledgeable in current and possible future policies, practices, trends, technology, and information affecting his/her business and organization.
  Communicate for Impact - Proactively communicate with all stakeholders throughout the life cycle of programs and projects.
  Influencing Others - Can quickly find common ground and can solve problems for the good of the organization with a minimal amount of noise. Authentically gains trust and support of peers.
  Managing Transitions/ Change Management - Effectively plans, manages and communicates changes in processes with appropriate stakeholders.
  Strategic Agility - Enable Kenco to remain competitive by adjusting and adapting to innovative ideas necessary to support Kenco’s long-term organizational strategy.
   
  Travel Requirements
• This position is expected to travel approximately 25% or less
• A passport is not required, but recommended.

• Bachelor’s degree in Computer Science.  Master’s or PhD degrees preferred
  8-10 years Data Engineering experience: proven track record working with large datasets and closely working with data analysts, software and infrastructure engineers
• Expert level skills writing/optimizing complex SQL and schema buildout with structured and unstructured data, including star schemas, constellations, and snowflake schemas
  Proficiency with languages like Python, Ruby, or Java
  Strong background in working with Big Data technologies like: Spark, Kafka, Hadoop, etc.
• Experienced in developing and delivering on technical roadmaps and architectures for platforms or cross-functional problems that impact multiple teams
• Experience in creating data warehousing, data lakes, and data marts
  Experience in data mining, profiling, and analysis
  Experience with workflow orchestration tools and rules-driven process automation engine systems
• Good understanding of Continuous Integration (CI)/ Continuous Delivery (CD) principles
• Demonstrated track record of dealing with ambiguity, prioritizing needs, and delivering results in a dynamic business environment
• Proven ability to develop unconventional solutions; Sees opportunities to innovate and leads the way
• Experienced in designing data solutions utilizing AWS cloud data platforms and tools
• Experience in creating scalable architecture to enable development of data driven products preferred
• Experience in creating/supporting decision support dashboard/product preferred
• Experience in mentoring BI or ETL team preferred