GCP Cloud Engineer

About Company

They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.

About Client:

Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.

Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.

Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.

Job Title: GCP Data Engineer

Experience:

Location: Chennai

Responsibilities:

• Design and develop scalable data pipelines on

  Google Cloud Platform

  .
• Implement

  streaming and batch processing

  using

  Dataflow, Apache Beam

  .
• Work with GCP services:

  BigQuery, Dataproc, Cloud Composer, Compute Engine, Cloud Run

  .
• Collaborate with business teams to translate requirements into technical solutions.
• Write clean, modular code in

  Python

  and

  Java

  ; optimize SQL queries.

Requirements:

• Bachelor’s/Master’s in Computer Science or related field.
• Strong experience in

  Big Data technologies

  (Spark, Hadoop).
• Expertise in

  GCP Data Engineering tools

  and workflow orchestration (Airflow/DAGs).
• Excellent communication and problem-solving skills.

• GCP Certification

  preferred.