Data Engineer - Google Cloud Platform

As a Data Engineer, your role involves designing, developing, and supporting data pipelines and related data products and platforms. Your primary responsibilities include: - Designing and building data extraction, loading, and transformation pipelines across on-prem and cloud platforms. - Performing application impact assessments, requirements reviews, and developing work estimates. - Developing test strategies and site reliability engineering measures for data products and solutions. - Participating in agile development and solution reviews. - Mentoring junior Data Engineering Specialists. - Leading the resolution of critical operations issues and performing technical data stewardship tasks, including metadata management, security, and privacy by design. In addition to the above responsibilities, you will also: - Design and build data extraction, loading, and transformation pipelines using Python and other GCP Data Technologies. - Demonstrate SQL and database proficiency in various data engineering tasks. - Automate data workflows by setting up DAGs in tools like Control-M, Apache Airflow, and Prefect. - Develop Unix scripts to support various data operations. - Model data to support business intelligence and analytics initiatives. - Utilize infrastructure-as-code tools such as Terraform, Puppet, and Ansible for deployment automation. - Have expertise in GCP data warehousing technologies, including BigQuery, Cloud SQL, Dataflow, Data Catalog, Cloud Composer, Google Cloud Storage, IAM, Compute Engine, Cloud Data Fusion, and Dataproc. Qualifications required for this role include: - Bachelor's degree in Software Engineering, Computer Science, Business, Mathematics, or a related field. - 5+ years of data engineering experience. - 3 years of data solution architecture and design experience. - GCP Certified Data Engineer is preferred. Experience: 6-8 Years Qualification: BCA/ B. Tech / MCA / M. Tech (Note: Additional details of the company were not provided in the job description.),