Data Engineer
Mod de lucru
Remote
Domenii de lucru
Tehnologia informației
Alătură-te echipei
Profesionist
Data de începere
conform acordului mutual
Timp de lucru
Normă întreagă
Divizie
Bosch Global Service Solutions
Responsabilitățile tale
Main objective of the job:
- Develop Data Pipelines: Design and operate automated ETL/ELT workflows using Azure tools to process and deliver data.
- Manage the Data Platform: Provision, secure, and optimize the underlying Azure infrastructure for our data solutions.
Main attributions and responsibilities:
- Data Pipelines: Assist in designing and maintaining data pipelines using Azure Data Factory and Azure Databricks.
- ETL Development: Build and optimize data transformation workflows in Python, focusing on data quality and performance.
- Azure Storage: Manage data within Azure Blob Storage and Data Lake Storage, including basic partitioning and access tier management.
- Security & Access: Gain hands-on experience in securing data via Azure Key Vault and implementing RBAC (Role-Based Access Control) strategies.
- Orchestration: Support the automation of data workflows using tools like Airflow or Kafka.
- Cloud Awareness: Learn and apply best practices for Azure cost management and resource automation.
- Collaboration: Work within an international Agile team, documenting processes to ensure operational excellence.
- Fulfils any other tasks related to area of responsibility, as requested by direct superior.
Profilul tău Studies:
- Bachelor of Engineering in Computer Science / Computer Engineering / Information Technology related field.
- English B2/C1, proficiency (fluent).
Knowledge and Skills:
- Azure Fundamentals: At least 1 year of practical experience with Azure Storage (Blob, Data Lake) and cloud-native concepts.
- RBAC & Security: Knowledgeable in designing RBAC and familiar with secure data handling (SAS tokens, authentication).
- Python & SQL: At least 1 year of practical experience writing Python scripts for data processing and SQL queries for analytical data sets.
- Data Mindset: Awareness of data management best practices and a proactive approach to problem-solving.
- Soft Skills: Strong communication skills and the flexibility to work on multiple projects simultaneously.
- Growth Mindset: A passion for continuous learning and building cloud-native solutions.
- Nice-to-Have:
- Experience with Git or CI/CD workflows.
- Interest in Data Governance or cloud monitoring.
- Initial Azure certifications (e.g., AZ-900 or DP-900).
Studies:
- Bachelor of Engineering in Computer Science / Computer Engineering / Information Technology related field.
- English B2/C1, proficiency (fluent).
Knowledge and Skills:
- Azure Fundamentals: At least 1 year of practical experience with Azure Storage (Blob, Data Lake) and cloud-native concepts.
- RBAC & Security: Knowledgeable in designing RBAC and familiar with secure data handling (SAS tokens, authentication).
- Python & SQL: At least 1 year of practical experience writing Python scripts for data processing and SQL queries for analytical data sets.
- Data Mindset: Awareness of data management best practices and a proactive approach to problem-solving.
- Soft Skills: Strong communication skills and the flexibility to work on multiple projects simultaneously.
- Growth Mindset: A passion for continuous learning and building cloud-native solutions.
- Nice-to-Have:
- Experience with Git or CI/CD workflows.
- Interest in Data Governance or cloud monitoring.
- Initial Azure certifications (e.g., AZ-900 or DP-900).