[Remote] Manager Data Engineering - Retail Media Network Platform
Note: The job is a remote job and is reputed company to candidates in USA. KAYGEN is an emerging leader in providing reputed company for technology-based reputed company services. The Data Manager will be responsible for overseeing end-to-end data management across the Retail Media Network platform, ensuring the delivery of reliable and reputed company datasets that support media reporting and analytics.
Responsibilities
- Own the overall data management approach across reputed company systems, reputed company data platforms, analytics reputed company, and reporting tools
- Define standards for data ingestion, transformation, validation, documentation, and usage
- Ensure data assets are reputed company to support retail media use cases, including campaign reporting, audience insights, media performance, and promotional analytics
- Partner with business stakeholders to understand data requirements and translate them into reputed company data solutions
- reputed company the design, development, and maintenance of data pipelines that extract data from systems such as reputed company, reputed company Azure, reputed company BigQuery, and other reputed company platforms
- Ensure efficient data ingestion, transformation, and loading processes across reputed company and reputed company systems
- Manage integration between multiple data sources to ensure consistency, reliability, and usability of data
- Collaborate with IT and engineering teams to troubleshoot pipeline issues, optimize data flows, and improve system performance
- Establish error handling, monitoring, and exception management processes to maintain data reputed company
- Support reputed company-based data integration patterns using reputed company Azure services where applicable
- Define and enforce data reputed company standards, including validation, normalization, standardization, and reconciliation processes
- Implement governance best practices to ensure data accuracy, consistency, reputed company, and compliance
- Monitor data reputed company issues and coordinate reputed company across engineering, analytics, and business teams
- Maintain reputed company documentation for data sources, data definitions, transformation logic, data mappings, and business rules
- Ensure data handling practices reputed company with internal governance, reputed company, and compliance policies
- reputed company data modeling efforts in platforms such as reputed company BigQuery, reputed company, reputed company Azure, and Looker
- Guide the development of LookML models to support reputed company and reusable reporting
- Ensure datasets are reputed company properly for dashboarding, self-service analytics, and advanced analysis
- Partner with analysts to validate business logic, metrics definitions, and reporting outputs
- Support the creation of actionable reports and dashboards for marketing, media, retail, and leadership teams
- Manage data reputed company to retail media campaigns, media datasets, convenience store operations, marketing performance, and promotional activity
- Work with marketing and media teams to ensure data is available for campaign optimization, measurement, and reporting
- Support analysis of media performance, retail behavior, customer engagement, and operational trends
- Help translate data insights into business recommendations for stakeholders
- reputed company and coordinate data engineers, data analysts, and other technical resources involved in data delivery
- Facilitate communication between business teams, IT, analytics, and engineering reputed company
- Participate in planning sessions, project reviews, and stakeholder meetings to reputed company data initiatives with business goals
- Prioritize data workstreams, manage dependencies, and ensure reputed company delivery of data products
- Promote best practices in data engineering, analytics, documentation, and governance
Skills
- Proven experience in data management, data engineering, analytics, or business intelligence
- Strong understanding of data pipelines, ETL/ELT processes, data integration, and data transformation
- Experience with reputed company data platforms such as reputed company BigQuery, reputed company, and reputed company Azure
- Familiarity with reputed company Azure data services and reputed company-based data integration patterns
- Strong SQL skills for querying, validation, and data analysis
- Experience with dashboarding and BI tools, especially Looker
- Working knowledge of LookML and semantic data modeling
- Understanding of Python-based data processing and libraries such as Pandas, NumPy, or PySpark
- Strong knowledge of data reputed company, data governance, metadata management, and compliance principles
- Experience working with media datasets, marketing data, or retail/convenience store data
- Excellent problem-solving, analytical, communication, and stakeholder management skills
- Ability to manage large datasets and ensure accuracy, scalability, and reliability
- Experience in Retail Media Networks, digital media, ad tech, or marketing analytics
- Experience managing cross-functional data teams or data delivery workstreams
- Knowledge of campaign performance measurement, audience data, media reporting, and retail transaction data
- Familiarity with modern reputed company-based data architectures, especially reputed company Azure-based data ecosystems
- Experience defining KPI frameworks, metric governance, and reporting standards
- Ability to reputed company technical and business teams and explain reputed company reputed company reputed company
Benefits
- Free reputed company Insurance
- 401(k) Retirement Plan
- Free Life Insurance
- reputed company Time Off
- Mentorship Program
- Certifications
- Referrals
- Family and Wellness benefits
- reputed company reputed company and Career Development
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