IT Platform Lead - Data Engineering
INR 3000K-4200K (estimate) Senior-level Full Time
Tasks
- Build and run data engineering platforms
- Define data architecture standards
- Design scalable secure resilient data architectures
- Develop ETL/ELT pipelines
- Drive continuous improvement of data pipelines
- Ensure data platform reliability and performance
- Implement Data Governance and Data Quality
- Lead data engineering team and stakeholder engagement
- Modernize data platforms
- Own data platform strategy and roadmap
Perks/Benefits
- Certification support
- Coaching
- Continuous feedback
- Hands-on training
- Hybrid work environment
- Professional development
- Well-being programs
Skills/Tech-stack
AWS | Access Control | Airflow | Amazon Redshift | Audit controls | Azure | Azure Synapse | Batch Processing | Big Data | BigQuery | By Design | CDC | CI/CD | Cloud Platforms | Cloud platform | Control-M | Cost Optimization | Data Governance | Data Lake | Data Lineage | Data Marts | Data Modeling | Data Privacy | Data Quality | Data Retention | Data Warehouse | Data masking | Databricks | DevOps | Dimensional Modeling | ELT | ETL | Encryption | GDPR | Git | Google Cloud | Google Cloud Platform | Hadoop | Incremental loads | Infrastructure as Code | Java | Kafka | Kubernetes | Lakehouse | Metadata Management | Monitoring | Observability | OpenShift | Pipeline Orchestration | PySpark | Python | Reconciliation | Release Management | SQL | Scala | Security by design | Snowflake | Spark | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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