Forward Deployed Data Engineer
Tasks
- Build ELT and ETL pipelines using SQL and Python and Spark
- Build data ingestion frameworks for SAP and non SAP systems
- Collaborate with AI engineers solution architects and stakeholders to translate requirements into data solutions
- Create reusable accelerators and reference data models and engineering best practices
- Deploy and operate data platforms on SAP BTP and Kubernetes and cloud environments
- Design and implement batch and real-time data pipelines
- Develop APIs and data services for AI applications and agents
- Develop logical and physical data models and semantic layers
- Implement data quality lineage governance and metadata management
- Optimize data storage query performance and distributed processing workloads
Perks/Benefits
- Competitive benefits
- Continuous learning
- Flexible working models
- Health and wellbeing support
- Hybrid work model
- Skill development
Skills/Tech-stack
API Development | AWS | Apache Airflow | Apache Spark | Azure | BigQuery | CI/CD | Cloud platform | Data Governance | Data Lake | Data Lakehouse | Data Lineage | Data Modeling | Data Quality | Data Warehouse | Databricks | Docker | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Kafka | Kubernetes | Metadata Management | PostgreSQL | Python | SAP HANA | SQL | Semantic layer | Snowflake
Education
Roles
Regions
Countries
States
Cities
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