Data Engineer

2 months ago

Gurugram, India Cognizant Full time

Position Summary:

The Data engineer is responsible for development & maintenance of the Data Lake within Cognizant. You should be able to collaborate with technology cross-commits and business teams to code, test and deploy scalable solution and adhering to required quality standards. You must be a self-starter, think outside the box and enjoy coming up with innovative solutions to solve business and technology issues. You keep yourself updated on the rapid technological advances and advise leadership how these advances can be leveraged to improve efficiency and enable new functionality. If you are driven to succeed and prepared to meet the ever-changing needs of our industry, then you are ready for a career at Cognizant.

Primary Skill : AWS, Pyspark, Python and SQL

Location: Gurgaon/Noida, India

Skill requirements:

Minimum 3 – 9 years of relevant experience in Data Engineer role. Excellent hands-on experience in AWS Data technologies Glue, S3, Athena, EMR, IAM etc. Mandatory - Hands on experience in Python and PySpark. Python as a language is practically usable for anything, we are looking for application Development and Extract/Transform/Load and Datalake curation experience using Python. Hands on experience in version control tools like Git. Worked on Amazon’s Analytics services like Amazon Athena, DynamoDB and AWS Glue Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services. Experience/knowledge of bash/shell scripting will be a plus. Has built ETL processes to take data, copy it, structurally transform it etc. involving a wide variety of formats like CSV, fixed width, XML and JSON. Have worked with columnar storage formats- Parquet, Avro, and ORC etc. Hands on experience in tools like Jenkins to build, test and deploy the applications. Excellent debugging skills. Ability to quickly perform critical analysis and use creative approaches for solving complex problems. Strong academic background. Excellent written and verbal communication skills, and strong relationship building skills. 

Duties and Responsibilities:

Maintain knowledge of evolving industry trends, practices, techniques, and standards on Big Data with focus on AWS cloud technologies and Python/Pyspark from application development perspective. Be aware of DevOps practices and follow appropriate steps/tools to effect code migration during development phase. Collaborate with cross-commit teams for implementation of deliverables in all environments. Development of code and design to meet evolving needs while adhering to policy and standards. Write test cases for Unit testing and Functional testing when the application is developed. Conduct and participate in coding and design reviews. Manage test plan & risks through development phases to implementation, ensure zero defects are introduced into the production environment. Ensure required documentation for projects and/or enhancements are created and updated. Monitor and support the production environment applications to ensure optimum stability and performance prior to handing over the code to operations team. Be aware of data-warehousing concepts and different facts/dimension-based modelling mechanisms for implementing in a Datalake environment.

Employee Status : Full Time Employee

Shift : Day Job

Travel : No

Job Posting : Feb 21 2024

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