SCGoogle BigQuery Data Engineer

Randstad India

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profile Job Location:

Chennai - India

profile Monthly Salary: Not Disclosed
Posted on: 11 hours ago
Vacancies: 1 Vacancy

Job Summary

As an Application Lead you will lead the effort to design build and configure applications acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements overseeing the development process and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions with your team providing guidance and support to ensure successful project outcomes. Your role will require you to stay updated on industry trends and best practices to enhance application performance and user experience.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Facilitate communication between technical teams and stakeholders to ensure alignment on project goals.
- Mentor junior team members providing guidance and support in their professional development.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google BigQuery.
- Strong understanding of data warehousing concepts and ETL processes.
- Experience with SQL and database management.
- Familiarity with cloud computing platforms and services.
- Ability to analyze and optimize query performance.

Additional Information:
- The candidate should have minimum 3 years of experience in Google BigQuery.
- This position is based at our Chennai office.
- A 15 years full time education is required.
As an Application Lead you will lead the effort to design build and configure applications acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements overseeing the development process and ensuring that the applications meet t...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala