Staff Data Engineer
INR 2800K-4000K (estimate) Senior-level Full Time
Tasks
- Apply ETL and data warehousing best practices
- Build end to end data centric solutions
- Build real-time and batch data pipelines
- Collaborate with business and infrastructure teams
- Design and govern scalable data platforms
- Develop consuming application interfaces
- Develop data staging and architecture
- Ensure adherence to engineering standards and guidelines
- Lead ETL strategy and technical solutions
- Lead agile project lifecycle from ideation to implementation
- Mentor teams and set engineering standards
- Produce secure highly available analytics data foundations
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Amazon Redshift | Apache Flink | Apache Hadoop | Apache Hive | Apache Spark | Cloudera | Data Modeling | Data Observability | Data Processing | Data Quality | Dimensional Modeling | ETL | Embeddings | Hive | Hugging Face | Kafka | Langchain | OBIEE | Oracle SQL | PL/SQL | Performance Tuning | PySpark | Python | Real Time | Real-time Data | Real-time Data Processing | SAS | SQL Performance | SQL Performance Tuning | Scala | Tableau | Teradata | Unix Shell | Vector Databases
Education
Roles
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