3 дня назад
Data Engineer (AWS / Azure / Databricks)
Вакансия из Telegram канала - Мэтч & Сопровод
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Описание вакансии
TL;DR
Data Engineer (AWS / Azure / Databricks) (Cloud Data Engineering): Developing and optimizing reliable ETL/ELT pipelines and scalable data warehouse and data lake architectures with an accent on Python, SQL, cloud infrastructure, and Databricks. Focus on integrating new data sources, automating data processes, and ensuring quality, stability, and performance across enterprise data systems.
🔥 Data Engineer (AWS / Azure / Databricks)
We are looking for an experienced Data Engineer for a project with a major German Enterprise client.
In this role, you will work with scalable cloud infrastructure, design DWH architecture, and optimize production data pipelines for international teams.
📌 Format: 100% Remote
💼 Contract Type: B2B Freelance
🌍 Location: Remote within EU (must hold EU Citizenship, PR, or a valid EU Work/Residence Permit)
🗣 Languages: English — B2+ / C1 (German is a plus, but not required)
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🛠 Responsibilities:
* Develop, optimize, and maintain reliable ETL/ELT data pipelines in a cloud environment.
* Design and scale Data Warehouse / Data Lake architecture.
* Integrate new data sources while ensuring high data quality, stability, and performance.
* Automate processes and collaborate closely with Analytics, BI, and DevOps teams.
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🎯 Requirements (Must-have):
* 3+ years of experience as a Data Engineer in an enterprise environment.
* Strong proficiency in Python and Advanced SQL.
* Deep understanding of ETL/ELT concepts, data pipeline development, and Data Warehousing.
* Hands-on experience with cloud platforms (AWS or Azure).
* Hands-on experience with modern data processing platforms (Databricks / PySpark).
* English proficiency at B2+ or higher (comfortable with fluent technical communication).
---
⭐️ Nice-to-have:
* Experience with dbt, Snowflake, or Azure Data Factory.
* Knowledge of Terraform / CI/CD / DataOps practices.
* Experience with real-time streaming technologies (Kafka / Azure Event Hub).
* Understanding of data modeling methodologies (e.g., Data Vault 2.0).
* Experience with enterprise integrations (SAP, REST APIs).
---
📩 To Apply:
Send your CV and expected hourly rate to
#DataEngineer #DataEngineering #Databricks #Python #Azure #Kafka #DataJobs #RemoteJobs #Hiring
We are looking for an experienced Data Engineer for a project with a major German Enterprise client.
In this role, you will work with scalable cloud infrastructure, design DWH architecture, and optimize production data pipelines for international teams.
📌 Format: 100% Remote
💼 Contract Type: B2B Freelance
🌍 Location: Remote within EU (must hold EU Citizenship, PR, or a valid EU Work/Residence Permit)
🗣 Languages: English — B2+ / C1 (German is a plus, but not required)
---
🛠 Responsibilities:
* Develop, optimize, and maintain reliable ETL/ELT data pipelines in a cloud environment.
* Design and scale Data Warehouse / Data Lake architecture.
* Integrate new data sources while ensuring high data quality, stability, and performance.
* Automate processes and collaborate closely with Analytics, BI, and DevOps teams.
---
🎯 Requirements (Must-have):
* 3+ years of experience as a Data Engineer in an enterprise environment.
* Strong proficiency in Python and Advanced SQL.
* Deep understanding of ETL/ELT concepts, data pipeline development, and Data Warehousing.
* Hands-on experience with cloud platforms (AWS or Azure).
* Hands-on experience with modern data processing platforms (Databricks / PySpark).
* English proficiency at B2+ or higher (comfortable with fluent technical communication).
---
⭐️ Nice-to-have:
* Experience with dbt, Snowflake, or Azure Data Factory.
* Knowledge of Terraform / CI/CD / DataOps practices.
* Experience with real-time streaming technologies (Kafka / Azure Event Hub).
* Understanding of data modeling methodologies (e.g., Data Vault 2.0).
* Experience with enterprise integrations (SAP, REST APIs).
---
📩 To Apply:
Send your CV and expected hourly rate to
#DataEngineer #DataEngineering #Databricks #Python #Azure #Kafka #DataJobs #RemoteJobs #Hiring
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