What are the responsibilities and job description for the Sr. Azure Data Engineer (hybrid) position at Cognizant?
About Cognizant’s AI Practice
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.
Job Summary
As a Technology Specialist you will leverage your expertise in PySpark, Azure Databricks, and Python to drive innovative solutions and optimize data processing workflows. You will collaborate with cross-functional teams to deliver high-quality results in a hybrid work model. This role requires 8 to 12 years of experience in the relevant technologies.
Responsibilities
Good to have - Azure Data Engineer Associate Databricks Certified Associate Developer for Apache Spark
Salary And Other Compensation
Applications will be accepted until 1/15/2025.
The annual salary for this position is between $[100,000 – 120,000 USD] depending on the experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.
Job Summary
As a Technology Specialist you will leverage your expertise in PySpark, Azure Databricks, and Python to drive innovative solutions and optimize data processing workflows. You will collaborate with cross-functional teams to deliver high-quality results in a hybrid work model. This role requires 8 to 12 years of experience in the relevant technologies.
Responsibilities
- Lead the design and implementation of data processing solutions using PySpark Azure Databricks and Python.
- Oversee the development and optimization of data pipelines to ensure efficient data flow and processing.
- Provide technical guidance and support to team members on best practices and advanced techniques.
- Collaborate with data engineers data scientists and other stakeholders to understand requirements and deliver solutions.
- Ensure the scalability and reliability of data processing systems to meet business needs.
- Conduct code reviews and ensure adherence to coding standards and best practices.
- Troubleshoot and resolve complex technical issues related to data processing and analytics.
- Monitor and maintain the performance of data processing systems implementing improvements as needed.
- Develop and maintain documentation for data processing workflows and systems.
- Stay up-to-date with the latest industry trends and technologies to drive continuous improvement.
- Participate in the planning and execution of data-related projects ensuring timely delivery and high quality.
- Communicate effectively with stakeholders to provide updates and gather feedback on project progress.
- Contribute to the overall success of the company by delivering high-quality data solutions that drive business value.
- Possess strong expertise in PySpark Azure Databricks and Python with 8 to 12 years of experience.
- Demonstrate proficiency in designing and implementing data processing solutions.
- Exhibit excellent problem-solving skills and the ability to troubleshoot complex technical issues.
- Show strong collaboration and communication skills to work effectively with cross-functional teams.
- Have a deep understanding of data pipeline optimization and performance tuning.
- Display a commitment to staying current with industry trends and emerging technologies.
- Bring a proactive approach to identifying and implementing improvements in data processing workflows.
Good to have - Azure Data Engineer Associate Databricks Certified Associate Developer for Apache Spark
Salary And Other Compensation
Applications will be accepted until 1/15/2025.
The annual salary for this position is between $[100,000 – 120,000 USD] depending on the experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
