Top Benefits
About the role
About the role
As a Senior Developer, you will play a key role in designing and implementing scalable data solutions using Databricks, PySpark, and Azure Cloud. You will collaborate with cross-functional teams to deliver high-performance applications that drive business impact. This is a hybrid role with no travel required, offering the opportunity to work on innovative projects that enhance services and positively impact society.
In this role, you will:
- Develop and implement scalable data solutions using Databricks and PySpark to optimize data processing workflows.
- Collaborate with cross-functional teams to design and deploy applications on Azure cloud ensuring high performance and reliability.
- Utilize Python to automate data pipelines and enhance data integration processes improving overall efficiency.
- Analyze complex datasets to extract actionable insights that drive business decisions and strategies.
- Ensure data security and compliance with industry standards safeguarding sensitive information.
- Troubleshoot and resolve technical issues related to data processing and cloud infrastructure minimizing downtime.
- Participate in code reviews and provide constructive feedback to peers fostering a culture of continuous improvement.
- Document technical specifications and maintain comprehensive records of development activities for future reference.
- Stay updated with the latest industry trends and technologies to incorporate innovative solutions into projects.
- Mentor junior developers sharing knowledge and expertise to support their professional growth.
- Engage with stakeholders to understand business requirements and translate them into technical solutions.
- Contribute to the development of best practices and standards for data engineering and cloud deployment.
- Support the implementation of machine learning models enhancing predictive analytics capabilities.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring a combination of remote and in-office work. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
What you need to have to be considered
- 8–12 years of experience as a developer with strong proficiency in Databricks and PySpark.
- Demonstrated expertise in Python programming with the ability to write clean and efficient code.
- Extensive experience with Azure cloud services including deployment and management of applications.
- Excellent problem-solving skills with the ability to troubleshoot complex technical issues effectively.
- Strong communication skills capable of articulating technical concepts to non-technical stakeholders.
These will help you stand out
- Familiarity with Life and Annuities Insurance domain and understanding of industry-specific data requirements.
- Experience mentoring junior developers and contributing to team knowledge sharing.
- Up-to-date knowledge of industry trends and best practices in data engineering and cloud deployment.
Certifications Required
Microsoft Certified: Azure Solutions Architect Expert
Compensation
Compensation for this role will be competitive and commensurate with experience. Specific details will be discussed during the interview process.
Benefits
We offer a comprehensive benefits package designed to support your health, wellbeing, and professional growth. Benefits may include health insurance, retirement plans, paid time off, and opportunities for continuous learning and development.
Post Closing Date
Applications for this position will be accepted until October 15th, 2025.
About Cognizant
Cognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life. See how at www.cognizant.com or @cognizant.
Top Benefits
About the role
About the role
As a Senior Developer, you will play a key role in designing and implementing scalable data solutions using Databricks, PySpark, and Azure Cloud. You will collaborate with cross-functional teams to deliver high-performance applications that drive business impact. This is a hybrid role with no travel required, offering the opportunity to work on innovative projects that enhance services and positively impact society.
In this role, you will:
- Develop and implement scalable data solutions using Databricks and PySpark to optimize data processing workflows.
- Collaborate with cross-functional teams to design and deploy applications on Azure cloud ensuring high performance and reliability.
- Utilize Python to automate data pipelines and enhance data integration processes improving overall efficiency.
- Analyze complex datasets to extract actionable insights that drive business decisions and strategies.
- Ensure data security and compliance with industry standards safeguarding sensitive information.
- Troubleshoot and resolve technical issues related to data processing and cloud infrastructure minimizing downtime.
- Participate in code reviews and provide constructive feedback to peers fostering a culture of continuous improvement.
- Document technical specifications and maintain comprehensive records of development activities for future reference.
- Stay updated with the latest industry trends and technologies to incorporate innovative solutions into projects.
- Mentor junior developers sharing knowledge and expertise to support their professional growth.
- Engage with stakeholders to understand business requirements and translate them into technical solutions.
- Contribute to the development of best practices and standards for data engineering and cloud deployment.
- Support the implementation of machine learning models enhancing predictive analytics capabilities.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring a combination of remote and in-office work. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
What you need to have to be considered
- 8–12 years of experience as a developer with strong proficiency in Databricks and PySpark.
- Demonstrated expertise in Python programming with the ability to write clean and efficient code.
- Extensive experience with Azure cloud services including deployment and management of applications.
- Excellent problem-solving skills with the ability to troubleshoot complex technical issues effectively.
- Strong communication skills capable of articulating technical concepts to non-technical stakeholders.
These will help you stand out
- Familiarity with Life and Annuities Insurance domain and understanding of industry-specific data requirements.
- Experience mentoring junior developers and contributing to team knowledge sharing.
- Up-to-date knowledge of industry trends and best practices in data engineering and cloud deployment.
Certifications Required
Microsoft Certified: Azure Solutions Architect Expert
Compensation
Compensation for this role will be competitive and commensurate with experience. Specific details will be discussed during the interview process.
Benefits
We offer a comprehensive benefits package designed to support your health, wellbeing, and professional growth. Benefits may include health insurance, retirement plans, paid time off, and opportunities for continuous learning and development.
Post Closing Date
Applications for this position will be accepted until October 15th, 2025.
About Cognizant
Cognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life. See how at www.cognizant.com or @cognizant.