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Data Engineer
3 weeks ago
**Responsibilities**:
- Design, develop, and maintain scalable big data solutions using Spark, Python, Scala, and/or Java.
- Implement efficient ETL processes to extract, transform, and load data from various sources into our data infrastructure.
- Collaborate with cross-functional teams to understand data requirements and design appropriate data models.
- Optimize and tune existing data pipelines for performance and reliability.
- Ensure data quality and integrity throughout the data lifecycle.
- Stay up-to-date with emerging technologies and best practices in big data engineering.
**Requirements**:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Minimum of 3 years of experience in big data engineering.
- Proficiency in Spark is preferred; experience with other big data technologies such as Hadoop, Kafka, or Flink is a plus.
- Strong programming skills in Python, Scala, and/or Java.
- Solid understanding of data modeling concepts and techniques.
- Experience with database management systems and SQL.
- Knowledge of cloud services (AWS, Azure, GCP) is preferred.
- Familiarity with Palantir Foundry, Dataiku, Alteryx, and/or Databricks UAP is a plus.
- Excellent problem-solving and communication skills.
- Ability to work effectively in a fast-paced, collaborative environment.
**Nice to Have**:
- Experience working on projects related to smart city initiatives or government sectors.
Vertical
Technology
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