Job description

Job Description

Mandatory skills AWS, Python and PySpark, Spark SQL, NoSQL Data Bricks

Experience on AWS and its web service offering S3, Redshift, EC2, EMR, Lambda, CloudWatch, RDS, Step functions, Spark streaming etc.

Good knowledge of Configuring and working on Multi node clusters and distributed data processing framework Spark.

Hands on experience with EMR Apache Spark Hadoop technologies

Experience with must have Linux, Python and PySpark, Spark SQL.

Experience in working with large volumes of data Tera-bytes, analyze the data structures

Experience in designing scalable data pipelines, complex event processing, analytics components using big data technology SparkPythonScalaPySpark,

Expert in SQL, NoSQL database

Experience in process orchestration tools Apache Airflow, Apache NiFi etc.

Hands on knowledge of design, development and enhancement of Data Lakes, constantly evolve with emerging tools and technologies

Employee Status : Full Time Employee

Shift : Day Job

Travel : No

Job Posting : Feb 16 2023

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. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at or follow us @Cognizant. 00052808871

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