Minimum Qualification/ requirement :

  • Hands-on experience in GCP Suite (4+ years minimum) such as Tera Data, Big Query, PubSub, Data Fusion, Google Cloud Storage, Dataproc, Composer, and Looker.
  • Solid understanding of Google Cloud architecture
  • Strong work experience in SQL/Data warehousing
  • 4+ years of Working experience on tools like Spark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, MapReduce, etc.
  • GCP Architect certification will be an advantage.
  • Google cloud Platform GCP Compute, Storage, Data, Network, Security,Devops and Big Data. AI ML services on Google Cloud Bigquery,Cloud Data Flow, Cloud Pub Sub, Cloud BigTable, ML APIs, AutoML
  • Cloud ML Serverless Architecture and Security Cloud Functions, Cloud IAM

JOB Description:

  • Design and build data engineering solutions using Google Cloud Platform (GCP) services: Tera data, BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, and DataProc.
  • Monitoring and improving the quality of the components throughout the development life cycle
  • Designing and Developing data modules that convert underlying raw data to more readily usable formats for reporting
  • Performing data deep dives to pinpoint Problems
  • Identify the application bottlenecks and opportunities to optimize performance and optimize the performance
  • Work on extracting, Loading, Transforming, cleaning, and validating data using cloud ETL/ELT tools
  • Work with the team to conduct training workshops to identify data sources, flows, and requirements
  • Preparing required project documentation and tracking and reporting regularly on the status of projects to all project stakeholders
  • Working with Business Analysts and other business teams to get the required data to build the semantic views.
  • Periodically update senior management with the status of the project with excellent written and verbal communication skills
  • Troubleshoot production issues and coordinate with the support team for code deployment.
Job Category: IT Services
Job Type: Contract- C2C Full Time
Job Location: New York
Job Work mode: Hybrid On-Site

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