
High-Touch Big Data Specialist
3 days ago
We are seeking a skilled Data Engineer to join our team and contribute to the design, development, and maintenance of large-scale data processing systems.
This is an exciting opportunity for individuals with experience in big data technologies, such as Apache Spark, and a passion for working on cutting-edge projects. As a Data Engineer, you will play a key role in building and maintaining scalable data pipelines using Azure Databricks.
Main Responsibilities:
- Design and Implement Data Pipelines: You will be responsible for designing and implementing data pipelines using Azure Databricks and Apache Spark to process large datasets efficiently.
- Develop Scalable Data Applications: You will work on developing and maintaining scalable data processing applications that can handle high volumes of data.
- Collaborate with Cross-Functional Teams: You will collaborate with data scientists and analysts to deliver insights and recommendations to drive business decisions.
Requirements:
- Experience: 5-12 years of experience in data engineering or related field.
- Skills: Proficiency in Azure Databricks, Apache Spark, and other big data technologies.
- Candidates should have: Strong understanding of data processing concepts and algorithms.
Preferred Qualifications:
- Cloud-based Data Platforms: Experience with cloud-based data platforms and services.
- Data Governance and Security: Knowledge of data governance and security best practices.
- Technical Communication: Ability to communicate technical concepts to non-technical stakeholders.
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