Big Data Specialist
Vor 6 Tagen
We are seeking a highly skilled Big Data Specialist to join our team and help us design and implement a scalable data infrastructure for our hybrid on-premises and cloud environment.
The ideal candidate will have experience with big data frameworks like Spark, cloud platforms (AWS or Azure), and a proven track record of managing complex data pipelines.
Key Responsibilities:
- Design and implement a scalable data infrastructure to support data integration across on-premises and cloud environments.
- Implement and manage ETL processes, ensuring data accuracy and consistency through automated workflows within a hybrid infrastructure.
- Collaborate with cross-functional teams to design and optimize data architecture for both on-premises and cloud storage solutions.
- Manage data within a cloud environment (AWS or Azure) and utilize Databricks for data processing and analytics tasks.
- Monitor, troubleshoot, and optimize data pipelines to ensure high performance, reliability, and scalability in a hybrid setup.
Required Skills and Qualifications:
- Experience: Minimum 1+ years in data engineering, with hands-on experience in production environments, ideally in a hybrid data infrastructure.
- Technical Skills:
- Proficiency in Python and SQL for data manipulation and automation.
- Experience with relational databases (e.g., Microsoft SQL Server).
- Strong understanding of data modeling, including schema design and normalization.
- Hands-on experience with cloud platforms (AWS or Azure) for data storage, processing, and analytics, alongside on-premises data systems.
- Proficiency with ETL tools and pipeline orchestration (e.g., Apache Airflow, AWS Glue, Azure Data Factory).
- Experience with big data frameworks like Spark for large-scale data processing.
- Knowledge of version control systems, particularly Git, for collaboration and code management.
- Understanding of data governance and quality standards.
- Data Processing:
- Experience using Databricks or similar platforms for scalable data processing and analytics.
- Soft Skills:
- Strong problem-solving skills with a detail-oriented approach.
- Excellent communication skills for effectively conveying technical details to both technical and non-technical stakeholders.
- Collaborative mindset with the ability to work effectively within a team environment.
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