Data Engineer
2 weeks ago
Role & responsibilities
- Develop and maintain data pipelines using Python (Pandas, PySpark).
- Optimize data workflows and ensure efficient data processing.
- Work with Delta Tables and Parquet for data storage and management.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Ensure data quality and integrity throughout the data lifecycle.
- Implement best practices for data engineering and workflow optimization.
Qualifications and Required Skills:
- Proficiency in Python, specifically with Pandas and PySpark.
- Strong experience in data engineering and workflow optimization.
- Knowledge of Delta Tables and Parquet.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment.
- Strong communication skills.
Good to Have Skills:
- Experience with Databricks.
- Knowledge of Apache Spark, DBT, and Airflow.
- Advanced Pandas optimizations.
- Familiarity with PyTest/DBT testing frameworks.
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