Roles & Responsibilities

  • Work closely with data scientists, platform engineers, data architects, and data source owners to deliver foundational data sets, enabling analytics solutions driving successful business outcomes.
  • Provide leadership in designing and implementing best practices for efficient sourcing and processing large data sets from Analytics data stores.
  • Build real-time, reliable, scalable, high-performing, distributed, fault tolerant systems.
  • Design and develop code, scripts and data pipelines that leverage structured and unstructured data.
  • Implement measures to address data privacy, security, compliance and ensure robust data governance.
  • Industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale
  • Monitor, maintain and optimize production systems. Investigate and resolve incidents reported by users. Identify opportunities to automate, consolidate and simplify platform.
  • Work with Enterprise Architecture, Digital, and other IT teams to develop and maintain data integrity, integration and governance standards.
  • Contribute to the selection of platforms, data management, libraries, tool chain and OSS for software development. Stay on top of evolving technology to suggest and prototype and implement improvements to the data architecture.
  • Collaborate with cross-functional teams to help utilize and drive adoption of new big data tools / models.
  • Guide business stakeholder and mentor members of the data and analytics teams regarding technology and best practices.
  • Manage assigned activities within time, cost and technical objectives. May manage small projects with internal or external resources.

Min. Qualifications

  • Bachelor's degree required
  • 10+ years hands-on experience in architecting, developing, and successfully operationalizing complex/large scale data management projects
  • At least 5+ years of data warehouse and ETL design and development using SQL on RDBMS and MPP databases
  • Experience in big data development on Hadoop or Spark frameworks using Python, Java, noSQL, TimeSeries DBs, HDFS
  • Experience in development on Cloud (PaaS) Data Solutions, Azure preferred

Preferred Qualifications

  • Degree in Computer Science, Engineering, Technical Science or related disciplines, preferred.
  • Experience building data management (metadata, lineage, tracking etc.) and governance solutions for modern data platforms
  • Experience securing Cloud based modern data platforms
  • Experience working with LAMBDA architecture using real-time Kafka ingestion and high-volume batch loads
  • Understanding of statistics and mathematical techniques to solve real business problems.
  • Experience of working with models in SAP HANA, manufacturing historians, various IoT, subscription and public data sources.
  • Experience of ETL tools such as SAP BusinessObjects Data Services.
  • Experience of Reporting and Analytics tools such as Tableau, Power BI, and Alteryx
  • Functional experience in one of more business functions.
  • Experience with global enterprise environment or major consulting firm is a plus.

Competencies

  • Builds effective teams
  • Collaborates
  • Cultivates innovation
  • Customer focus
  • Demonstrates courage
  • Drives results
  • Ensures accountability
  • Instills trust and exemplifies integrity