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Über
Mandatory Skills:
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Advanced expertise in ETL / ELT pipeline design
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Handling:
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Batch data processing
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Near real time / streaming data
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Experience with structured and semi structured data
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Strong knowledge of:
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Incremental loading
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CDC (Change Data Capture)
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Pipeline orchestration and dependency management
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Strong programming skills in Python or Scala or Java (nice to have)
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Performance optimization for large scale data processing
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Solid understanding of:
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Dimensional modeling (Star / Snowflake)
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Normalized and denormalized models
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Strong experience on: Azure, AWS, or GCP
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Hands on with Data Warehouses (Snowflake, Synapse, BigQuery, Redshift)
Data Architecture & Solution Design
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Design end to end data engineering architectures
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Define scalable solutions for:
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Data lakes / lakehouse
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Data warehouses
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Streaming and real time systems
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Ensure alignment with enterprise architecture, security, and compliance standards
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Review and approve technical designs
Data Pipeline Development & Management
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Lead development of ETL / ELT pipelines
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Handle:
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Batch and real time ingestion
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Structured and semi structured data
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Optimize pipelines for performance, reliability, and cost
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Manage schema evolution and data dependencies
Data Quality, Reliability & Operations
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Establish data quality standards and validation rules
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Implement monitoring, alerting, and observability
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Perform root cause analysis for data incidents
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Drive operational excellence and stability
DevOps / DataOps Enablement
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Build CI/CD pipelines for data workloads
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Automate testing, deployment, and rollback
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Improve reliability through automation
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.