Pyspark + Databricks
2 weeks ago
**Job Summary**
**Responsibilities**
- Develop and maintain scalable data pipelines using Databricks SQL and Databricks Workflows.
- Implement and optimize PySpark code for data processing and analytics.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Ensure data quality and integrity through rigorous testing and validation.
- Provide technical guidance and support to junior developers.
- Monitor and troubleshoot data pipeline performance and resolve issues promptly.
- Participate in code reviews to maintain high coding standards.
- Stay updated with the latest industry trends and technologies in data engineering.
- Contribute to the continuous improvement of development processes and best practices.
- Document technical specifications and maintain comprehensive project documentation.
- Work closely with stakeholders to gather requirements and provide timely updates on project progress.
- Utilize domain knowledge in Cards & Payments to enhance data solutions.
- Ensure compliance with data security and privacy regulations.
**Qualifications**
- Possess strong expertise in Databricks SQL and Databricks Workflows.
- Demonstrate proficiency in PySpark for data processing and analytics.
- Have experience in developing and maintaining scalable data pipelines.
- Show ability to collaborate effectively with cross-functional teams.
- Exhibit strong problem-solving skills and attention to detail.
- Have knowledge of data quality and validation techniques.
- Possess excellent communication and documentation skills.
- Experience in the Cards & Payments domain is a plus.
- Familiarity with data security and privacy regulations is desirable.
- Ability to work in a hybrid work model with day shifts.
- Minimum of 6 years and maximum of 10 years of relevant experience.
- Bachelors degree in Computer Science Engineering or a related field is preferred.
- Strong commitment to continuous learning and professional development.
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