Manager, Data Product Management
INR 2500K-4720K (estimate) Senior-level Full Time
Tasks
- Communicate decisions to stakeholders
- Consolidate common tasks across teams
- Design and maintain data pipeline services
- Design solutions with data architecture and stakeholders for compliance and audit requirements
- Drive data engineering automation versioning ingestion integration transformation optimization and data modeling
- Ensure scalability, reliability, and performance of data pipelines
- Establish data governance and security compliance
- Implement customer requests into data assets
- Implement data engineering standardization
- Improve data quality and reduce redundancy
- Lead and mentor data engineering teams
- Monitor and optimize platform observability and alerting
- Optimize costs and resource consumption
- Perform hands on design and code reviews
- Plan agile work scope and roadblocks
- Prioritize and manage team workloads
- Provide technical guidance on best practices and architecture
- Resolve incidents using root cause analysis
- Track software engineering quality metrics and DORA metrics
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Apache Airflow | Apache Beam | Automation | BigQuery | CI/CD | Cause analysis | Cloud Functions | Cloud Monitoring | Cloud Run | Cloud logging | Cloud platform | Code review | Compute Optimization | Cost Optimization | Data Governance | Data Modeling | Data Privacy | Data Quality | Data Security | Data Warehousing | Dataflow | Dataform | Datastream | Docker | ELT | ETL | Generative AI | Gerrit | Git | Google Cloud | Google Cloud Platform | Kafka | LLM | Language Models | Large Language Models | Monitoring | Observability | OpenShift | Power BI | PubSub | Python | Root Cause Analysis | Root cause | SQL | Scala | Semantic Modeling | Serverless | Streaming Data | Tableau | Testing | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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