Lead Data Engineer(AWS / Pyspark) at Cognizant - Thailand

San Antonio, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

130000.0

Posted On

06 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Glue, Pyspark, SQL, GitHub CICD, AWS S3, AWS Airflow, AWS SNS, AWS Lambda, AWS SQS, AWS Cloudwatch, AWS Sagemaker Notebooks, Investment Management, Asset Management, Mutual Funds, Banking, Financial Services, Analytical Skills

Industry

IT Services and IT Consulting

Description

Description - External We are Cognizant 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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!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 provide businesses with 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. Lead Data Engineer(AWS / Pyspark) - Technical hands on (AWS Glue, Pyspark, SQL). Good to have hands on in GitHub CICD, AWS services such as S3, Airflow, SNS, Lambda, SQS, Cloudwatch, Sagemaker notebooks - Domain knowledge in Investment/Asset management, Mutual Funds, Banking & Financial - Good on analytical skills, Production support & trouble shooting experience - Good on Client interfacing, Team leading experience, ON-OFF coordination, Delivery review & Quality control for Data Engineering, Business Intelligence and Data Science team Would be coordinating with VCM client, stakeholders, third party vendors and internal Technology and Support Teams AWS Glue - Expert Pyspark- Expert SQL- Expert #LI-KN1 Salary and Other Compensation: Applications will be accepted until November 7th 2025. The annual salary for this position is between $120K- 130K 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 Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Description - External We are Cognizant 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 provide businesses with 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. Lead Data Engineer(AWS / Pyspark) - Technical hands on (AWS Glue, Pyspark, SQL). Good to have hands on in GitHub CICD, AWS services such as S3, Airflow, SNS, Lambda, SQS, Cloudwatch, Sagemaker notebooks - Domain knowledge in Investment/Asset management, Mutual Funds, Banking & Financial - Good on analytical skills, Production support & trouble shooting experience - Good on Client interfacing, Team leading experience, ON-OFF coordination, Delivery review & Quality control for Data Engineering, Business Intelligence and Data Science team Would be coordinating with VCM client, stakeholders, third party vendors and internal Technology and Support Teams AWS Glue - Expert Pyspark- Expert SQL- Expert #LI-KN1 Salary and Other Compensation: Applications will be accepted until November 7th 2025. The annual salary for this position is between $120K- 130K 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 Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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Responsibilities

The Lead Data Engineer will be responsible for coordinating with clients, stakeholders, and internal teams to ensure the delivery and quality control of data engineering and analytics projects. This role requires hands-on technical expertise in AWS and Pyspark to support production and troubleshoot issues.