- Looking for a Big Data Engineer who knows to work on potential use cases of Big Data.
- Have awareness of clean, transform, and analyze vast amounts of raw data from various systems using Spark to provide ready-to-use data to our feature developers and business analysts.
- Have knowledge of Real-time and Batch Big data system.
- Hands on experience on Spark (Using Scala or Python or Java).
- Should hold working knowledge in Azure services (ADF, ADLS, Event Hub, cosmosdb, Azure Databricks, etc.…).
- Knowledge of CICD – Git / BitBucket, Jenkins / Bamboo.
- Capable in executing Hive/Impala SQLs.
- Sound knowledge on Spark Query tuning and performance optimization.
- Experience working on Cloudera, HDFS
- Advantage on having knowledge on Real-time tool - Kafka.
- Added advantage to have awareness of Agile Methodology and tools like JIRA.
- Good documentation experience.
- Create Spark (using Scala or Python) jobs for data transformation and aggregation.
- Write unit tests and maintain code coverage for developed code.
- Capable in creating the confluence document.
- Capable in working with Batch and real time data both.
$100,000Date of Posting : 21/06/2024Next Steps:If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.For a complete list of open opportunities with Cognizant, visit http://www.cognizant.com/careers.Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.About Cognizant:Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.#LI-CTSAPAC