GCP Data Engineer

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage.

Experience

• 3–7 years of experience in designing, developing, and delivering scalable data solutions on Google Cloud Platform (GCP).

• Strong hands-on expertise in building data pipelines and data platforms in cloud environments. Key Responsibilities

• Design, develop, and maintain batch and real-time data pipelines on GCP.

• Build scalable data solutions using

BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow) .

• Develop and optimize SQL queries and data transformation logic using Python / Java / Scala.

• Design and implement data models for Data Warehouses and Data Lakes.

• Work with GCP databases including Cloud SQL, Bigtable, Spanner, and AlloyDB, selecting appropriate services based on use cases.

• Orchestrate and monitor workflows using Cloud Composer (Apache Airflow).

• Implement data quality checks, validation rules, monitoring, and alerting mechanisms.

• Support data migration initiatives including on-prem to cloud and cloud-to-cloud migrations. • Apply GCP best practices for performance optimization, reliability, scalability, security, and cost management.

• Participate in CI/CD implementation using tools such as Git, Jenkins, SonarQube, Artifactory, and Docker.

• Collaborate with data scientists, analysts, architects, and business stakeholders to understand and translate data requirements into technical solutions.

• Troubleshoot and resolve data pipeline performance and production issues.

• Contribute to design reviews and provide technical guidance to junior team members.

• Participate in Agile delivery processes and client interactions (if applicable).

Required Skills

• Strong hands-on experience with GCP data services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, GCS).

• Advanced SQL skills with performance optimization experience.

• Proficiency in Python (preferred) or Java/Scala.

• Good understanding of data modeling, data warehousing, and distributed data processing concepts.

• Experience with CI/CD and DevOps practices.

• Knowledge of IAM, security, and access control best practices in GCP.

• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Google Cloud Certified – Professional Data Engineer. • Experience with streaming architectures (Pub/Sub + Dataflow streaming). • Exposure to data governance, lineage, and observability tools. • Experience working in consulting or client-facing environments.

How you’ll grow

Connect for impact

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Global Impact Report

and our

India Impact Report .

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