What are the responsibilities and job description for the GCP Data Engineer position at Cognizant?
Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities. Cognizant Technology Solutions is seeking GCP Data Engineers to join their Cloud Practice in Dallas, TX. GCP Data Engineer will create, deliver, and support custom data products, as well as enhance / expand team capabilities. They will work on analyzing and manipulating large datasets supporting the enterprise by activating data assets to support Enabling Platforms and analytics. Google Cloud Data Engineers will be responsible for designing the transformation and modernization on Google Cloud Platform using GCP Services Responsibilities : Build data systems and pipelines on GCP Cloud using Data proc, Data Flow, Data Fusion, Big query and Pub / Sub Implement schedules / workflows and tasks for Cloud Composer / Apache Airflow. Create and manage data storage solutions using GCP services such as BigQuery, Cloud Storage, and Cloud SQL Monitor and troubleshoot data pipelines and storage solutions using GCP's Stackdriver and Cloud Monitoring Develop efficient ETL / ELT pipelines and orchestration using Data Prep, Google Cloud Composer Develop and Maintain Data Ingestion and transformation process using Apache PySpark, Dataflow Automate data processing tasks using scripting languages such as Python or Bash Ensuring data security and compliance with industry standards by configuring IAM roles, service accounts, and access policies. Automating cloud deployments and infrastructure management using Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager. Participate in Code reviews, contribute to development best practices and usage of Developer Assist tools to create a robust fail-safe data pipelines Collaborate with Product Owners, Scrum Masters and Data Analyst to deliver the User Stories and Tasks and ensure deployment of pipelines Experience required : 5 years of application development experience required using one of the core cloud platforms viz. AWS, Azure & GCP Minimum 1 years of GCP experience. Experience working in GCP based Big Data deployments (Batch / Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, Pub / Sub, Data Fusion, Dataflow, Dataproc, Airflow / Cloud Composer. 2 years coding skills in Java / Python / PySpark and strong proficiency in SQL . Work with data team to analyze data, build models and integrate massive datasets from multiple data sources for data modeling. Extracting, Loading, Transforming, cleaning, and validating data Designing pipelines and architectures for data processing. Architecting and implementing next generation data and analytics platforms on GCP cloud. Experience in working with Agile and Lean methodologies. Experience working with either a Map Reduce or an MPP system on any size / scale. Experience working in CI / CD model to ensure automated orchestration of pipelines. Work Location : Dallas Location with hybrid to office (3 days in a week) Cognizant Technology Solutions will not be able to provide sponsorship now or in the future. This is an onsite role as candidates will be required to be in Dallas 3 days a week. No telecommuting and / or travel will be allowed.
