Data Engineer
4 weeks ago
Job Description for Data Engineer
Develop reliable data integration solutions using Spark and ETL tools to provide ready-to-use datasets to data scientists and analysts.
Key Responsibilities:
- Design and implement efficient data ingestion pipelines to acquire and extract large volumes of structured and unstructured data.
- Clean, transform, and enrich raw data using scalable data processing algorithms and techniques.
- Create and maintain data storage architectures that cater to the specific needs of big data applications.
- Implement robust data management strategies, including data partitioning, indexing, and compression techniques.
- Collaborate with data scientists and analysts to understand their requirements and translate them into scalable data models.
- Apply data visualization techniques to communicate insights effectively.
- Identify and implement strategies to enhance the performance and efficiency of big data applications and systems.
- Establish and enforce data governance policies, standards, and best practices.
- Collaborate with cross-functional teams to understand their data requirements and provide technical support.
Requirements:
- BSc in Computer Science/Engineering or related field.
- At least 3 years developing, deploying, and managing robust ETL/ELT data solutions.
- Industry/sector participation and relevant professional certifications, such as Azure Data Engineer Associate or Databricks Certified Data Engineer Associate.
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