Advanced Data Engineer Role
1 week ago
In our Data and Analytics services, you will have the opportunity to help organizations uncover insights that drive business results. We focus on leveraging data to support strategic decision-making, optimize operations, and foster innovation.
- Key Responsibilities:
- Design, develop, and optimize data pipelines using PySpark or Scala.
- Implement data ingestion, processing, and storage solutions on GCP cloud platform.
- Develop and maintain data models, schemas, and metadata to support efficient data access.
- Monitor pipeline performance, troubleshoot issues, and optimize data processing workflows for scalability and reliability.
- Implement data security measures to protect sensitive information.
Requirements:
- Proven experience as a Data Engineer with expertise in building data pipelines using PySpark and Apache Spark.
- Hands-on experience with cloud platforms, particularly GCP, and proficiency in GCP services.
- Strong programming skills in Python and Scala, with experience in software development and version control.
- Familiarity with big data technologies and frameworks is a plus.
Benefits:
- Opportunity to work with cutting-edge technology and innovative solutions.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Other Details:
- 4-8 years of experience required.
- Bachelor's degree in Engineering, Business Administration, or Computer Science.
- Desired languages: Python, Scala, and SQL.
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