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them without breaking the business - Competence in at least one programming language (Java, Python, Node.js, C#, Go or similar) - enough to build pipeline glue, validation harnesses and tooling, not only to configure products
Location & work details
Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.
- Original location
- Germany
- Country
- Germany (ATS location fields)
- Stack
- - Competence in at least one programming language (Java, Python, Node.js, C#, Go or similar) - enough to build pipeline glue, validation harnesses and tooling, not only to configure products (Source language/tool mention)
- Stack
- - Competence in at least one programming language (Java, Python, Node.js, C#, Go or similar) - enough to build pipeline glue, validation harnesses and tooling, not only to configure products (Source language/tool mention)
- Stack
- - Competence in at least one programming language (Java, Python, Node.js, C#, Go or similar) - enough to build pipeline glue, validation harnesses and tooling, not only to configure products (Source language/tool mention)
- Stack
- MongoDB's Application Modernization Platform (AMP) organization is the front door of our modernization business. In our Data Migration practice we move production data - safely, repeatably, at enterprise scale - from relational estates (Oracle, SQL Server, PostgreSQL, MySQL) and from NoSQL platforms (Apache Cassandra, Azure Cosmos DB, Amazon DocumentDB) onto MongoDB. We do this both as standalone migration programmes and as the data workstream inside larger application-modernization engagements, using MongoDB's own tooling - Relational Migrator, Cluster-to-Cluster Sync, Atlas Stream Processing - alongside the open-source and cloud-native pipeline ecosystem. (Source language/tool mention)
- Stack
- - Design and operate change data capture (CDC) pipelines for zero and near-zero-downtime migrations - using Kafka and the connector ecosystem, Debezium and comparable log-based CDC tooling, and cloud-native replication services (Source language/tool mention)
- Stack
- - One or more cloud platforms (AWS, Azure, GCP) at architecture depth (Source language/tool mention)
- Stack
- ySQL) and from NoSQL platforms (Apache Cassandra, Azure Cosmos DB, Amazon DocumentDB) onto MongoDB. We do (GTM description)
- Stack
- le - from relational estates (Oracle, SQL Server, PostgreSQL, MySQL) and from NoSQL platforms (Apache Cassandr (GTM description)
- Stack
- lational estates (Oracle, SQL Server, PostgreSQL, MySQL) and from NoSQL platforms (Apache Cassandra, Azur (GTM description)
- Stack
- stgreSQL, MySQL) and from NoSQL platforms (Apache Cassandra, Azure Cosmos DB, Amazon DocumentDB) onto MongoDB (GTM description)
- Stack
- ation or replication tooling experience: Spark or Flink-based pipelines, dual-write patterns, cloud DMS-c (GTM description)
- Stack
- at least one programming language (Java, Python, Node.js, C#, Go or similar) - enough to build pipeline gl (GTM description)
- Normalization
- Explicit source location text; no city-only country inference.
Employer posting
Senior Consulting EngineerSource details
Company identifier: MongoDB
Source ID: greenhouse:mongodb:8173795
Board: greenhouse:mongodb
Evidence field: description
Match rule: alternative_in_list
Go matches in source: 1
Department as supplied: PS Migration Factory
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