AIA-Chennai
Job Summary
The Sr. Developer role is pivotal in driving the development and optimization of data-driven solutions using Python and PySpark. With a hybrid work model the candidate will collaborate with cross-functional teams to enhance data processing capabilities. This position requires a seasoned professional with 7 to 10 years of experience focusing on delivering impactful solutions that align with the companys strategic goals.
Responsibilities
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Develop and implement scalable data processing solutions using Python and PySpark to enhance data analytics capabilities.
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Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications.
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Optimize existing data pipelines to improve performance and efficiency ensuring timely data availability for stakeholders.
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Design and maintain robust ETL processes to support data integration from various sources.
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Troubleshoot and resolve complex technical issues related to data processing and analytics.
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Ensure data quality and integrity by implementing rigorous testing and validation procedures.
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Document technical solutions and processes to facilitate knowledge sharing and team collaboration.
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Stay updated with the latest industry trends and technologies to continuously improve data processing practices.
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Participate in code reviews to maintain high coding standards and best practices.
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Work closely with project managers to ensure timely delivery of data solutions that meet business requirements.
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Provide technical guidance and mentorship to junior developers to foster a collaborative team environment.
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Engage in continuous learning and development to enhance technical skills and knowledge.
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Contribute to the companys mission by delivering data solutions that drive business insights and decision-making.
Qualifications
- Possess a strong proficiency in Python and PySpark with a proven track record of developing data-driven solutions.
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Demonstrate experience in designing and optimizing ETL processes for large-scale data integration.
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Exhibit excellent problem-solving skills with the ability to troubleshoot complex technical issues.
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Show a commitment to maintaining high data quality and integrity through rigorous testing.
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Have a collaborative mindset with the ability to work effectively in a hybrid work model.
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Display strong communication skills to articulate technical concepts to non-technical stakeholders.
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Be proactive in staying updated with the latest industry trends and technologies.