Data Engineering Lead

6 days ago

Hyderabad, Telangana, India Skillsoft Full time
Transformative Learning Experiences

At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. Our mission is to empower individuals to unleash their edge and drive business success.

Principal Data Engineer

The Principal Data Engineer will act as a corporate data steward and resident expert in data availability, logical organization, and relationships between data elements and business practices. This role will support Skillsoft's strategic studies by ensuring data hygiene processes are followed by business partners, data assets are available and ready for analysis, and leading the development of deep data-driven analyses.

Key Responsibilities
  • Drive the advancement of Enterprise data infrastructure by designing and implementing the underlying logic and structure for how data is set up, cleansed, and ultimately stored for organizational usage.
  • Develop a pragmatic and practical Knowledge Management strategy to support Skillsoft's analytical strategy across a wide variety of business areas.
  • Build robust systems and reusable code modules to solve problems across the team and organization with an eye on the long-term maintenance and support of the application.
  • Work with the latest open-source tools, libraries, platforms, and languages to build data products enabling other analysts to explore and interact with large and complex data sets.
  • Partner with Product Owners and cross-functional teams in a collaborative and agile environment.
  • Collaborate across the enterprise to enable and share best practices and reusable and scalable tools and code for our analyst community.
  • Champion the standardization of processes that generate data elements used in analysis and maintain documentation on lineage and definitions of data elements to support consistent usage in analysis.
  • Establish forward-looking Data and technology objectives and develop the strategies and actions for the team to achieve them.
  • Manage a small team through project deliveries, mentor other engineers, and develop technical knowledge and skills to keep the enterprise on the cutting edge of technology.
  • Design rich data visualizations and interactive tools and solutions to communicate complex ideas to customers and company leaders.
  • Evangelize Enterprise Data Strategy & Execution Team mission and identify opportunities to influence decision making with supporting data & analysis.
  • Identify opportunities for additional data resources that support Enterprise Data Strategy & Execution Team strategic objectives.
Requirements
  • 7+ years of experience in Data Engineering/Data Management space and working with enterprise-level production data warehouses.
  • 3+ years of experience in building cloud data applications (data lake, cloud data warehouse, cloud analytical servers) and a deep understanding of cloud computing (Azure preferred).
  • 3+ years of experience with a data engineering/analysis programming language (e.g., Python, R, Spark, etc.).
  • 3+ years of proven SQL Server experience building and supporting Data Warehouse structures and supporting end-user reporting tools such as Tableau/Power BI/SSRS.
  • Highly proficient in data architecture and conceptual, logical, and physical data modeling.
  • Experience in setting data design/architecture standards and best practices, leading forums to review initiatives and ensure adherence to the guidelines.
  • Established experience delivering information management solutions to large numbers of end users.
  • Experience with technology stacks available for Metadata Management, Data Governance, Data Quality, MDM, Lineage, Data Catalog, etc.
  • Demonstrable experience in working cross-functionally across an enterprise organization to develop data architectures to facilitate business analytics.
  • Ability to work and potentially lead in an Agile methodology environment.
  • Experience and interest in cloud migration/journey to the cloud for data platforms and landscape.
  • Strong business acumen, analytical skills, and technical abilities.
  • Practical problem-solving skills and ability to move complex projects forward.
  • Experience with app and/or web analytics data, such as Pendo, Google Analytics, or Adobe Site Catalyst (a plus).
  • Experience with CRM (Salesforce) & ERP (Peoplesoft) systems data (a plus).

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