Manager - Data Engineer
INR 2000K-3500K (estimate) Senior-level Full Time
Tasks
- Architect cloud ETL ETL ELT solutions
- Build metadata driven YAML configured ETL frameworks
- Design curated data layers for analytics reporting and AI ML
- Design lakehouse lakehouse solutions
- Drive enterprise data governance metadata management master data management security
- Implement CI CD pipelines and YAML deployment automation
- Implement PySpark distributed data processing
- Implement data quality validation monitoring observability lineage logging
- Implement infrastructure-as-code using Terraform
- Lead mentor distributed engineering teams
- Modernize migrate legacy systems to Azure lakehouse
- Optimize Spark and Databricks workloads
Perks/Benefits
- Comprehensive benefits savings pension plans
- Daycare support
- Deferred compensation
- Flexible work schedules
- Leadership and training programs
- Parental leave support
- Reward programs
Skills/Tech-stack
ARM Templates | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure DevOps | Azure SQL | Azure Synapse | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Management | Data Modeling | Data Quality | Databricks Workflows | Delta Lake | Delta Live Tables | Delta Live) | ELT | ETL | Git | Infrastructure as Code | Lakehouse | Master Data | Master Data Management | Medallion Architecture | Metadata Management | PySpark | Spark | Streaming Data | Terraform | Unity Catalog | YAML | “as-code”
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