Data Engineer (GCP) at Cognizant - Thailand

, , -

Full Time

Start Date

Immediate

Expiry Date

31 Mar, 26

Salary

120000.0

Posted On

31 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Teradata, Python, Big Data, Google Big Query, Google Cloud DataProc, Google Cloud SQL, Google Cloud Composer, Google Cloud Pub/Sub

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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!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. Job Summary Data Engineer(GCP) 4 to 6+ years of experience in Data Engineering, with at least 2 years in GCP. Strong hands-on exp in Teradata data warehousing, BTEQ, and complex SQL. Solid knowledge of GCP services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer, and Dataproc. Experience with ETL/ELT pipelines using custom scripting tools (Python/Java). Proven ability to refactor and translate legacy logic from Teradata to GCP. Familiarity with CI/CD, GIT, Argo CD, and DevOps practices in cloud data envi Experience : 6to10Yrs Required Skills : Teradata,Python,Big Data,Google Big Query,Google Cloud DataProc,Google Cloud SQL,Google Cloud Composer,Google Cloud Pub/Sub #LI-KN1 Salary and Other Compensation: Applications will be accepted until January 5th 2026. The annual salary for this position is between $100- $120K depending on experience and other qualifications of the successful candidate. Please note, this role is not able to offer visa transfer or sponsorship now or in the future. 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. Job Summary Data Engineer(GCP) 4 to 6+ years of experience in Data Engineering, with at least 2 years in GCP. Strong hands-on exp in Teradata data warehousing, BTEQ, and complex SQL. Solid knowledge of GCP services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer, and Dataproc. Experience with ETL/ELT pipelines using custom scripting tools (Python/Java). Proven ability to refactor and translate legacy logic from Teradata to GCP. Familiarity with CI/CD, GIT, Argo CD, and DevOps practices in cloud data envi Experience : 6to10Yrs Required Skills : Teradata,Python,Big Data,Google Big Query,Google Cloud DataProc,Google Cloud SQL,Google Cloud Composer,Google Cloud Pub/Sub #LI-KN1 Salary and Other Compensation: Applications will be accepted until January 5th 2026. The annual salary for this position is between $100- $120K depending on experience and other qualifications of the successful candidate. Please note, this role is not able to offer visa transfer or sponsorship now or in the future. 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 Data Engineer will work on designing and implementing data architectures and pipelines to transform data into meaningful intelligence. They will also refactor and translate legacy logic from Teradata to GCP.