Data Architect

vor 6 Monaten

Berlin, Deutschland Top Remote Talent Vollzeit

The team of experts providing analytical services to healthcare clients is looking for a great, long-term Data Architect.

You will join an international team of first-class professionals who are passionate about creating products that improve the quality of medical services.

The company offers exposure to a variety of industries and technologies, room to grow as a professional, time in projects to learn new skills and an opportunity to work with phenomenal coworkers, some of the best people on the planet.

**Fundamentals**:

- Extensive OLTP and OLAP experience in terms of both SQL and Data Architecture.
- Hands-on experience with Data Modeling and Data-intensive Architecture.
- Ability to help engineers with 3NF normalization.
- Ability to help engineers with Query Optimization.
- Ability to provide guidelines on DWH Data Modeling both for Batching and Streaming architectures. DWH Modeling with a robust, fast, distributed, and modern architecture.
- Understanding of EAV Modeling.
- Understanding of Dimensional Modeling and SCD.
- Understanding of Bi-Temporal History, Time-Variant Analysis.
- Understanding of pros and cons of different Data-related concepts and methodologies: DWH vs Data Lake vs LakeHouse vs Data Mesh, Lambda vs Kappa, Inmon vs Kimball vs Data Vault vs Anchor Modeling. Hand-on experience with at least one of the following (or similar) instruments: Spark / Flink / Beam.
-

**Pros**:

- Experience with GCP or Cloud-Native Engineering.
- Hands-on experience with Streaming.
- Hands-on experience with Kafka.
- Experience with Data Gov / Lineage and Data Quality.
- Experience with Python.
- Hopefully, “a Unix guy” and not a Windows Vista user.

**Limitations**:

- Ability to work up to 13-14 EST. Probably, any Asian Time Zone is not acceptable at all.
- We’ll never use Oracle.
- We’ll never use Java. Probably, even for custom DataFlow templates.
- We may never use Scala.
- We’re mostly using GCP-native stack. “Framework engineering” isn’t a top priority.

**Our stack**:

- Cloud-Native Engineering (Google Cloud Platform).
- “OLTP”: Google Cloud Spanner.
- OLAP: Google Cloud BigQuery.
- Google Kubernetes Engine.
- Apache Beam / DataFlow. No Apache Spark.
- Python, Pandas, FastAPI.
- PHP, Laravel.
- In the future, Go and gRPC.
- Cloud Composer.
- Looker Studio.
- Google Pub/Sub.
- Git, GitHub.
- Shell, Terraform, Circle CI.

**What about **offer?**
- Fully remote work.
- Interesting projects to work on.
- Opportunity to work with international team of first-class professionals.
- Paid vacations.
- Competitive compensation package.

Li-remote

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