As a data product owner, you will be working with data architecture and modeling.
Location- Gurgaon & Banaglore (Hybrid)
Your Future Employer- A leading global analytics and consulting company serving industries including insurance, banking , healthcare, logistics etc.
Responsibilities-
- 7+ years of experience in working with data architecture, modeling, and the ability to work closely with data engineers to oversee the development of data solutions
- Expertise in identifying business needs and translating them into technical requirements for data processing and analytics.
- Proficiency in managing complex data projects, prioritizing tasks, and meeting deadlines. Experience with agile methodologies and tools like Jira is essential.
- Familiarity with data governance principles and practices to ensure that the data strategies align with legal and business standards.
- Ability to communicate effectively with stakeholders including Business Partners, and technical teams to ensure clarity and alignment on objectives.
- Strong analytical skills to troubleshoot and resolve data-related issues, optimizing data flows and quality.
- Hands-on experience with SQL, data warehousing solutions, ETL processes, and PySpark
- Understanding of the industry and how data-driven insights can drive business strategies and decisions.
Requirements-
- Bachelor’s degree in a quantitative field such as Computer Science, Data Science, or equivalent work experience; master’s degree preferred.
- Insurance experience is a highly preferred.
- Solid foundation in data structures, algorithms, and system design.
- Experience with modern data storage, messaging, and processing tools (e.g., SQL, NoSQL, Kafka, Redis), and cloud services (e.g., Azure, AWS).
- Proficiency in one or more programming languages relevant to data engineering, such as Python, Java, or Scala.
- Strong interpersonal skills with the ability to convey complex data concepts to non-technical stakeholders.
What is in for you-
- A stimulating working environment with equal employment opportunities.
- Growing of skills while working with industry leaders and top brands.
- A meritocratic culture with great career progression.
Reach us- If you feel that you are the right fit for the role please share your updated CV at nancy.thakur@crescendogroup.in
Note: We receive numerous applications daily, making it challenging to respond to each candidate. If you do not hear back from us within a week, please assume your profile has not been shortlisted. Your patience is highly appreciated.
Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Profile Keywords: Data warehousing, data integration, data modeling, dataset managing, data analysis, SQL queries, data governance