What are the responsibilities and job description for the Sr. Developer position at Cognizant North America?
Location- Onsite in Houston, TX We are Cognizant Artificial Intelligence
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
This is an on site position open to any qualified applicant in the United States.
Job Summary
We are seeking a Sr. Developer with 8 years of experience to join our team. The ideal candidate will have expertise in Google Distributed Cloud Risk Management Apache Beam Google Kubernetes Engine (GKE) Cloud Pub / Sub Cloud Composer Spark PySpark BigQuery Apache Spark Python Cloud Dataproc and Cloud Dataflow. Experience in the Utilities domain is a plus. This is a work from office role with a day shift schedule and no travel required.
Responsibilities
- Lead the development and implementation of cloud-based solutions using Google Distributed Cloud and related technologies.
- Oversee risk management processes to ensure the security and reliability of cloud applications.
- Demonstrate proficiency in Apache Beam for efficient data processing and pipeline creation.
- Apply Google Kubernetes Engine (GKE) for managing containerized applications to guarantee their scalability.
- Implement messaging and event-driven systems using Cloud Pub / Sub.
- Manage and orchestrate workflows with Cloud Composer.
- Develop and optimize data processing workflows using Spark and PySpark.
- Leverage BigQuery for large-scale data analysis and querying.
- Apply Apache Spark for distributed data processing and analytics.
- Write efficient and maintainable code in Python for various data processing tasks.
- Use Cloud Dataproc for running Apache Spark and Hadoop clusters in the cloud.
- Implement data processing pipelines with Cloud Dataflow.
- Collaborate with multi-functional teams to ensure seamless integration of cloud solutions.
- Contribute to the companys purpose by developing innovative solutions that enhance operational efficiency and impact society positively.
Qualifications
Certifications Required
Google Cloud Professional Data Engineer Google Cloud Professional Cloud Architect
Salary and Other Compensation :
Applications will be accepted until 3 / 25 / 25
The annual salary for this position is between $68,000- $123,000 USD depending on 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 :
Disclaimer : 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.
Salary : $68,000 - $123,000
