Posted by Overview
Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world’s leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work.
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With over 100 development and delivery centers worldwide and approximately 244,300 employees as of June 30, 2016, Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
The world is changing faster than ever; creating new opportunities for those who stand ready to seize them. Because now more than ever, the Future belong to those who challenge the present.
Cognizant Walk-In Interview on 14th Dec 2024
Walk-In Recruitment @ Drive Cognizant Bhubaneswar
Welcome to your future.
We are excited to see what you have to offer. Let’s meet soon. Here are the details.
Senior Associate
Skill : Azure Databricks, pyspark, Python, Azure data factory, AWS, Azure data engineer
Experience: 3 – 12 yrs
Job Responsibilities
Analyze complex data sets to identify trends and patterns that can inform business decisions.
Develop and maintain data pipelines using Azure Data Factory to ensure seamless data integration.
Utilize PySpark and Python to perform data transformations and analytics.
Implement and manage workflows using BMC Control-M WA to ensure timely data processing.
Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
Create and maintain data models in Azure Databricks to support advanced analytics.
Ensure data quality and integrity by performing regular audits and validations.
Design and implement ETL processes to extract transform and load data into Azure Data Lake Store.
Provide technical support and troubleshooting for data-related issues.
Develop and maintain documentation for data processes and workflows.
Monitor and optimize data pipelines for performance and efficiency.
Stay updated with the latest industry trends and technologies to continuously improve data analytics capabilities.
Communicate findings and insights to stakeholders through reports and presentations.
Qualifications:
Possess a Bachelors degree in Computer Science Information Technology or a related field.
Demonstrate proficiency in BMC Control-M WA PySpark and Python.
Have hands-on experience with Azure Databricks Azure Data Lake Store and Azure Data Factory ETL.
Show strong analytical and problem-solving skills.
Exhibit excellent communication and collaboration abilities.
Display a proactive and self-motivated attitude.
Have a solid understanding of data modeling and data warehousing concepts.
Be familiar with data governance and data quality best practices.
Show experience in developing and maintaining data pipelines.
Demonstrate the ability to work in a hybrid work model.
Have a minimum of 4 years and a maximum of 6 years of relevant experience.
Be able to work effectively during the day shift.
Show no requirement for travel.
To Register, Click here!
Senior Associate
Skill: IICS, Abinitio, Spark Scala, ETL , Power Bi, Snowflake, MSBI
Experience: 3 – 12 yrs
Job Responsibilities
Analyze complex data sets to identify trends and patterns that can inform business decisions.
Develop and maintain data pipelines using Azure Data Factory to ensure seamless data integration.
Utilize PySpark and Python to perform data transformations and analytics.
Implement and manage workflows using BMC Control-M WA to ensure timely data processing.
Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
Create and maintain data models in Azure Databricks to support advanced analytics.
Ensure data quality and integrity by performing regular audits and validations.
Design and implement ETL processes to extract transform and load data into Azure Data Lake Store.
Provide technical support and troubleshooting for data-related issues.
Develop and maintain documentation for data processes and workflows.
Monitor and optimize data pipelines for performance and efficiency.
Stay updated with the latest industry trends and technologies to continuously improve data analytics capabilities.
Communicate findings and insights to stakeholders through reports and presentations.
Qualifications
Possess a Bachelors degree in Computer Science Information Technology or a related field.
Demonstrate proficiency in BMC Control-M WA PySpark and Python.
Have hands-on experience with Azure Databricks Azure Data Lake Store and Azure Data Factory ETL.
Show strong analytical and problem-solving skills.
Exhibit excellent communication and collaboration abilities.
Display a proactive and self-motivated attitude.
Have a solid understanding of data modeling and data warehousing concepts.
Be familiar with data governance and data quality best practices.
Show experience in developing and maintaining data pipelines.
Demonstrate the ability to work in a hybrid work model.
Have a minimum of 4 years and a maximum of 6 years of relevant experience.
Be able to work effectively during the day shift.
Show no requirement for travel.
To Register, Click here!
Walk-In Interview on 14th Dec 2024
Timing: 9 AM on words
Venue:
Cognizant Bhubaneswar
Tower C, Shakti Bhawan,
Odisha Technology Center, Acharya Vihar,
Bhubaneswar 751022, Odisha.