(15h Left) GCP data Engineer

4 weeks ago

Bangalore, India Impetus Full time

Provides technical leadership in Big Data space (Hadoop Stack like Spark, M/R, HDFS, Hive, HBase etc) and contributes to open source Big Data technologies. Responsibilities - Must have: Operating knowledge of cloud computing platforms (GCP, especially Big Query, Dataflow, Dataproc, Storage, VMs, Networking, Pub Sub, Cloud Functions, Composer services). - Should be aware with columnar database e.g parquet, ORC etc. - Visualize and evangelize next generation infrastructure in Cloud platform/Big Data space (Batch, Near Real-time, Real-time technologies). - Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms. - Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems. - Expert-level proficiency in at-least 4-5 GCP services. - Experience with technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities. - Strong understanding and experience in distributed computing frameworks, particularly. - Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common tasks. Qualifications 7-10 years of experience in the role of implementation of high end software products Required Skills - Operating knowledge of cloud computing platforms (GCP, especially Big Query, Dataflow, Dataproc, Storage, VMs, Networking, Pub Sub, Cloud Functions, Composer services). - Expert-level proficiency in at-least 4-5 GCP services. - Strong understanding and experience in distributed computing frameworks. - Experience working within a Linux computing environment. - Should be aware with columnar database e.g parquet, ORC etc. - Experience with technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities.

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