
Senior Data Engineer Position
2 weeks ago
- Design, build and maintain robust data pipelines and architectures to support advanced analytics and machine learning initiatives.
- Develop and optimize data models, warehouses and lakes to meet business and analytics needs.
- Integrate data from multiple sources including APIs, databases, flat files and real-time streaming platforms.
- Implement data quality checks, validation rules and monitoring for pipeline reliability.
- Collaborate with data scientists, analysts and stakeholders to gather requirements and deliver clean datasets.
- 5 years of experience in data engineering, ETL development or data integration.
- Strong programming skills in Python, SQL or Scala.
- Experience with big data tools such as Spark, Hadoop, Hive and Kafka.
Preferred qualifications include experience with real-time data processing, familiarity with DBT for transformation pipelines and exposure to DataOps, MLOps or analytics platforms. A bachelor's or master's degree in Computer Science, Engineering, Data Science or a related field is also required.
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