Technical Product Owner responsible for prioritizing and delivering digital learning tools at Vista Higher Learning. Collaborates with engineering, UX, and content teams in EdTech.
About the role
- Staff Technical Product Manager leading data engineering teams and collaborating on product strategy in Energy Technology sector. Driving data engineering and architecture solutions for improved efficiency.
Responsibilities
- Demonstrating wide and deep knowledge in data engineering, data architecture, and data science.
- Ability to guide, lead, and work with the team to drive to the right solution
- Engaging frequently (80%) with the development team; facilitate discussions, provide clarification, story acceptance and refinement, testing and validation; contribute to design activities and decisions; familiar with waterfall, Agile scrum framework;
- Owning and manage the backlog; continuously order and prioritize to ensure that 1-2 sprints/iterations of backlog are always ready.
- Collaborating with UX in design decisions, demonstrating deep understanding of technology stack and impact on final product.
- Conducting customer and stakeholder interviews and elaborate on personas.
- Demonstrating expert-level skill in problem decomposition and ability to navigate through ambiguity.
- Partnering with the Service Owner to ensure a healthy development process and clear tracking metric to form standard and trustworthy way of providing customer support
- Designing and implementing scalable and robust data pipelines to collect, process, and store data from various sources.
- Developing and maintaining data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.
- Optimizing and tuning the performance of data systems to ensure efficient data processing and analysis.
- Collaborating with product managers and analysts to understand data requirements and implement solutions for data modeling and analysis.
- Identifying and resolving data quality issues, ensuring data accuracy, consistency, and completeness
- Implementing and maintaining data governance and security measures to protect sensitive data.
- Monitoring and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.
Requirements
- Have a Bachelor's or higher degree in Computer Science, Information Systems, or a related field.
- Have minimum 6-10 years of proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.
- Have Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).
- Have Extensive knowledge working with SAP systems, Tcode, data pipelines in SAP, Databricks related technologies.
- Have Experience with building complex jobs for building SCD type mappings using ETL tools like PySpark, Talend, Informatica, etc.
- Have Experience with data visualization and reporting tools (e.g., Tableau, Power BI).
- Have Strong problem-solving and analytical skills, with the ability to handle complex data challenges.
- Have Excellent communication and collaboration skills to work effectively in a team environment.
- Have Experience in data modeling, data warehousing, and ETL principles.
- Have familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).
- Have advanced knowledge of distributed computing and parallel processing.
- Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).
- Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Certification in relevant technologies or data engineering disciplines.
- Having working knowledge in Databricks, Dremio, and SAP is highly preferred.
Benefits
- Flexible working hours
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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