Google Cloud Platform Data Engineer
Experience: 2-8 Years
CTC: No Bar
By bringing together operations, technology, and run capabilities, our practitioners have opportunities to develop knowledge and experience in current industry trends, as well as the technologies that can help solve today’s toughest problems.
Our diversity of Offerings gives practitioners more options for building core and adjacent skills in areas they feel passionate about.
The Portfolio combines leading business and industry thinking with the technologies needed to drive real impact for our clients.
By fostering collaboration across professionals, this environment will help our people learn, develop, and grow as they serve our clients every day.
BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience.
Experience in Cloud SQL and Cloud Bigtable
Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics
Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer
Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume).
Experience working with technical customers.
2+ years of relevant consulting, industry or technology experience
Strong problem solving and troubleshooting skills
Willingness to travel up in case of project requirement
Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
Experience in technical consulting.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have)
Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow).
Working knowledge of ITIL and/or agile methodologies
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