GCP Data Engineer

Artificial Intelligence Global Company; Bengaluru; Presencial; INR 2 500 000 - 4 500 000; Tempo integral

Resumo da oferta

Artificial Intelligence Global Company in Bengaluru seeks a Senior GCP Data Engineer to design end-to-end GCP data pipelines and data lake solutions for industrial and government sectors.

The role requires 7+ years in tech, 3+ years focusing on GCP, and hands-on experience deploying multiple end-to-end GCP cloud solutions, with strong communication and proposal development skills.

Qualificações

• Overall experience of 7+ years in the technology industry.

Responsabilidades

• Design end-to-end solutions on Google Cloud Platform to enhance operational efficiency and drive digital and data transformation in industrial & government sectors.
• Experience in ETL/ELT development, data modeling (star/snowflake), and scripting with SQL, Python, or Java.
• Proven experience designing data solutions on GCP using BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
• Delivery of GCP technical services to a minimum of 2 end clients; and experience in bid proposals for RFQs/RFPs.

Conhecimentos

GCP Data Engineer

SQL

Python/Java

ETL/ELT

Data Modeling

Communication

Formação académica

Bachelor's or Master's in CS/IT/Engineering

Ferramentas

BigQuery

Dataflow

Pub/Sub

Cloud Storage

Looker

Vertex AI

Kubernetes

Descrição da oferta de emprego

We are currently hiring a Senior GCP Data Engineer for our Manyata Tech Park, Bangalore location.

Immediate joiners or candidates with a short notice period will be preferred.

Roles and Responsibilities:

• This role involves designing end-to-end solutions and implementing/deploying solutions based on Google Cloud Platform (GCP) to enhance operational efficiency and drive digital and Data transformation within the industrial & government sectors.
• Exposure and experience in delivering solutions in the GCP cloud platform, including cloud platform sizing, provisioning, designing, developing, and implementing an end-to-end solution focused on Data Lake Engineering and Analytics.
• Expertise in ETL/ELT development, data modeling (star/snowflake), and scripting with SQL, Python, or Java. Familiarity with Apache Beam, Spark, or Dataproc is a plus.
• Proven experience in designing and implementing data solutions on Google Cloud Platform (GCP) using services like BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
• Google Cloud Professional certifications.
• Proficiency in GCP services (e.g., Compute Engine, Data Flow, Air Flow, BigQuery, Cloud Storage, Kubernetes, Looker, Vertex AI, Colab, and DevOps), cloud security best practices, and digital transformation methodologies.
• Experience in Data Engineering and Data Analytics projects /use cases.
• Experience in GCP cloud services delivery as a service partner of Google.
• Exposure across other cloud platforms and experience in migration activities.
• Experience and understanding of digitalization trends and challenges within the industrial and government sectors.
• Excellent verbal and written communication skills, with the ability to present complex technical concepts to both technical and non-technical stakeholders.
• Knowledge of industry-specific standards and regulations.
• Experience in technical pre-sales activities.
• Experience in building proposals as part of bid preparation, including solution proposal, solution architecture, sizing, and planning.

Experience:

• Overall experience of 7+ years in the technology industry.
• Minimum 3+ years of experience in Cloud Solutions with a focus on GCP.
• Experience of a minimum of 2 end-to-end GCP cloud solution deployment projects covering Cloud / Data migration / Data Pipelines / Infrastructure, etc.
• Experience of at least one project related to digitizing and digitalization solutions in the industrial space.
• Experience of at least one project related to digitizing and digitalization solutions in the government sector.Experience in delivering GCP technical services to a minimum of 2 end clients.
• Experience in delivering bid proposals for RFQs/RFPs. (minimum of 2).

Education and Qualifications:

• Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field.