AWS Data Engineer at Cognizant - Thailand

Mettawa, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

135500.0

Posted On

01 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Data Engineering, PySpark, Python, Shell Scripting, Amazon Redshift, Amazon S3, Amazon EMR, SQL, Data Models, Data Pipelines, Data Integrity, Data Processing, Data Architecture, Data Solutions, Collaboration

Industry

IT Services and IT Consulting

Description

Practice - AIA - Artificial Intelligence and Analytics About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies. By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence. *Please note, this role is not able to offer visa transfer or sponsorship now or in the future* Roles & Responsibilities · Develop, maintain, and optimize data pipelines using PySpark and Python to process large volumes of data efficiently. · Utilize Shell scripting to automate data processing tasks and manage workflows. · Work with various data engineering services in AWS, such as Amazon Redshift, Amazon S3, Amazon EMR to design scalable and robust data solutions. · Write complex SQL queries to extract, manipulate, and analyze data from multiple sources. · Collaborate with cross-functional teams to understand data requirements and translate them into efficient data models and solutions. · Monitor and troubleshoot data pipelines and workflows, ensuring data integrity and timely delivery of processed data. #LI-EF1 #CB #Ind123 Applications will be accepted until 3 Oct 2025. Salary and Other Compensation: The hourly salary for this position is between $[115,500 - 135,500] 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: · Medical/Dental/Vision/Life Insurance · Paid holidays plus Paid Time Off · 401(k) plan and contributions · Long-term/Short-term Disability · Paid Parental Leave · Employee Stock Purchase Plan

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Responsibilities

Develop, maintain, and optimize data pipelines using PySpark and Python to process large volumes of data efficiently. Collaborate with cross-functional teams to understand data requirements and translate them into efficient data models and solutions.