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GCP Data Engineer

Microsoft
Noida, Uttar Pradesh, India
Jan 29, 2024
Dec 31, 2024
Onsite
Full-Time
10 Years
Job Description

Job Title. Data Engineer

Role Overview
As a Data Engineer with 5-10 years of experience, you will play a pivotal role in maintaining architecture principles, guidelines, and standards, focusing on Data Warehousing, Big Data, and Data Analytics. The position is based in Noida, Bangalore, Chennai, Pune, or Hyderabad, and requires a minimum of 5 years of relevant experience.

Key Responsibilities

  • Design and implement solutions in the domains of Data Warehousing, Big Data, and Data Analytics.
  • Utilize programming languages such as Python and Java for software development.
  • Demonstrate strong proficiency in Google Cloud Platform (GCP) Data Components, including but not limited to BigQuery, BigTable, CloudSQL, Dataproc, Data Flow, and Data Fusion.
  • Provide expertise in the implementation of technology projects, emphasizing data engineering within a professional environment.
  • Hands-on experience with Data Projects in the cloud, specifically on GCP.
  • Sound knowledge of Data-related concepts and excellent communication, presentation, and problem-solving skills.

Good to Have

  • Experience and knowledge of MPP systems, Database systems, ETL and ELT systems, and Data Flow computing.
  • Ability to advise on best-of-breed solutions for client needs.
  • Coaching and mentoring skills to bring junior data engineering personnel up to speed and enhance their understanding of the overall Data ecosystem.
  • Prior experience in developing, building, and deploying on GCP.
  • Experience in working on Solution decks, IP builds, and client meetings for requirement gathering.

Certifications

  • Google Professional Cloud Architect certification would be a significant asset for this role.

Professional Summary
A technical Data Engineer with extensive experience in Data Warehousing, Big Data, and Data Analytics, proficient in Python and Java. Demonstrated success in implementing technology projects, especially in data engineering, within a professional environment. Strong skills in GCP Data Components and a sound understanding of data-related concepts. Excellent communication, presentation, and problem-solving abilities.