Google Cloud Data Engineer

3 weeks ago


Atlanta, United States Tata Consultancy Services Full time

Job Description: (Must have 8+exp)


  • At least 8 years of overall experience in building ETL/ELT, data warehousing and big data solutions.
  • At least 5 years of experience in building data models and data pipelines to process different types of large datasets.
  • At least 3 years of experience with Python, Spark, Hive, Hadoop, Kinesis, Kafka.
  • Proven expertise in relational and dimensional data modeling.
  • Understand PII standards, processes, and security protocols.
  • Experience in building data warehouse using Cloud Technologies such as AWS or GCP Services, and Cloud Data Warehouse preferably Google BigQuery.
  • In depth knowledge in Big Data solutions and Hadoop ecosystem.
  • Strong SQL knowledge – able to translate complex scenarios into queries. Strong Programming experience in Java or Python. Experience in Google Cloud platform (especially BigQuery & Dataflow).
  • Experience with Google Cloud SDK & API Scripting. Experience in Hadoop (Hive, MapReduce, Spark).
  • Experience in Onsite-Offshore coordination. Experience in Test Driven Development. Experience in Agile processes and DevOps methodologies.
  • Experience in NoSQL Databases. Experience with Data modeling and mapping. Experience of Retail domain will be an added advantage.
  • Google Cloud Professional Data Engineer Certification is an advantage. Programming Language – Java / Python. Google Cloud – Big Query, Pub/ Sub, Dataflow, Composer DAGs, Cloud storage. CI/CD – GitHub, Jenkins.


Required Skills:

  • Good organizational and problem-solving skills
  • Good team player who is self motivated and well organized
  • Strong oral and written communication skills
  • Ability to work with remote teams
  • Ability to manage project scope



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