We are looking for a Sr. Developer with 6 to 9 years of experience to join our team. The ideal candidate will have strong expertise in PySpark and Databricks and will work from our office during day shifts. This role does not require travel. The Sr. Developer will contribute to the development and optimization of our data processing systems ensuring efficient and reliable data workflows.
Responsibilities
Develop and maintain scalable data processing systems using PySpark and Databricks
Collaborate with data engineers and analysts to design and implement data pipelines
Optimize and troubleshoot existing data workflows to improve performance and reliability
Ensure data quality and integrity throughout the data processing lifecycle
Provide technical guidance and support to team members on PySpark and Databricks best practices
Participate in code reviews to ensure code quality and adherence to standards
Work closely with stakeholders to understand data requirements and deliver solutions that meet business needs
Implement data security and compliance measures to protect sensitive information
Monitor and manage data processing jobs to ensure timely and accurate data delivery
Stay up-to-date with the latest industry trends and technologies in data processing and analytics
Contribute to the continuous improvement of our data processing infrastructure and tools
Document data processing workflows and procedures for future reference
Collaborate with cross-functional teams to support data-driven decision making
Must have strong experience with PySpark and Databricks
Should have a solid understanding of data processing and ETL concepts
Must possess excellent problem-solving and troubleshooting skills
Should have experience with data security and compliance measures
Must be able to work effectively in a collaborative team environment
Should have strong communication and interpersonal skills
Nice to have experience with cloud platforms such as AWS or Azure
Nice to have experience with other big data technologies like Hadoop or Spark
Must be detail-oriented and able to manage multiple tasks simultaneously
Should have a proactive approach to learning and staying current with industry trends
Must be able to work independently and take ownership of projects
Should have a strong commitment to delivering high-quality work
* Must have a bachelors degree in Computer Science Engineering or a related field.
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