GCP certified Data Engineer

6 - 10 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a part of the team at GlobalLogic working on a significant software project for a world-class company providing M2M / IoT 4G/5G modules to various industries like automotive, healthcare, and logistics, your role will involve contributing to the development of end-user modules' firmware, implementing new features, maintaining compatibility with the latest telecommunication and industry standards, and conducting analysis and estimations of customer requirements. **Key Responsibilities:** - Experience working with data warehouses, including technical architectures, infrastructure components, ETL / ELT, and reporting / analytic tools and environments. - Experience in technical consulting. - Architecting and developing software or internet scale production-grade Big Data solutions in virtualized environments like Google Cloud Platform (mandatory) and AWS / Azure (good to have). - Working with big data, information retrieval, data mining, or machine learning, along with building multi-tier high availability applications with modern web technologies. - Knowledge of ITIL and / or agile methodologies. - Google Data Engineer certified. **Qualifications Required:** - BA / BS degree in Computer Science, Mathematics, or related technical field, or equivalent practical experience. - Experience in Cloud SQL, Cloud Bigtable, Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub / Sub, Genomics, Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer. - Experience with data processing software (Hadoop, Kafka, Spark, Pig, Hive) and data processing algorithms (MapReduce, Flume). - Experience working with technical customers. - Experience in writing software in languages like Java, Python. - 6-10 years of relevant consulting, industry, or technology experience. - Strong problem-solving and troubleshooting skills. - Strong communication skills. GlobalLogic offers a culture of caring where people come first, continuous learning and development opportunities, interesting and meaningful work on impactful projects, balance, and flexibility in work-life integration, and a high-trust organization focused on integrity and ethics. As a trusted digital engineering partner to leading companies, GlobalLogic collaborates with clients in transforming businesses and industries through intelligent products, platforms, and services. As a part of the team at GlobalLogic working on a significant software project for a world-class company providing M2M / IoT 4G/5G modules to various industries like automotive, healthcare, and logistics, your role will involve contributing to the development of end-user modules' firmware, implementing new features, maintaining compatibility with the latest telecommunication and industry standards, and conducting analysis and estimations of customer requirements. **Key Responsibilities:** - Experience working with data warehouses, including technical architectures, infrastructure components, ETL / ELT, and reporting / analytic tools and environments. - Experience in technical consulting. - Architecting and developing software or internet scale production-grade Big Data solutions in virtualized environments like Google Cloud Platform (mandatory) and AWS / Azure (good to have). - Working with big data, information retrieval, data mining, or machine learning, along with building multi-tier high availability applications with modern web technologies. - Knowledge of ITIL and / or agile methodologies. - Google Data Engineer certified. **Qualifications Required:** - BA / BS degree in Computer Science, Mathematics, or related technical field, or equivalent practical experience. - Experience in Cloud SQL, Cloud Bigtable, Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub / Sub, Genomics, Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer. - Experience with data processing software (Hadoop, Kafka, Spark, Pig, Hive) and data processing algorithms (MapReduce, Flume). - Experience working with technical customers. - Experience in writing software in languages like Java, Python. - 6-10 years of relevant consulting, industry, or technology experience. - Strong problem-solving and troubleshooting skills. - Strong communication skills. GlobalLogic offers a culture of caring where people come first, continuous learning and development opportunities, interesting and meaningful work on impactful projects, balance, and flexibility in work-life integration, and a high-trust organization focused on integrity and ethics. As a trusted digital engineering partner to leading companies, GlobalLogic collaborates with clients in transforming businesses and industries through intelligent products, platforms, and services.

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