Senior Data Engineer - GCP | 10+ years only | Bangalore

What impact will you make

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services

Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.

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. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Senior Data Engineer – GCP

Experience: 10+ Years

Work Model: Hybrid – 4 Days Work From Office

Work Timings: 7:00 AM – 4:00 PM IST

Employment Type: Full-time

Role Overview

Seeking a Senior Data Engineer with strong expertise in GCP, ETL/ELT pipelines, DBT, and enterprise data integration to build scalable, high-quality data solutions.

Key Responsibilities

• Data Engineering: Build and maintain scalable pipelines using Python, SQL, DBT; ensure reliability and performance.
• GCP Data Platform: Develop solutions using GCS, BigQuery, Pub/Sub, Cloud Composer, Dataflow, Dataproc, Cloud SQL.
• Data Integration & Mapping: Perform source-to-target mapping, API integrations, and ensure end-to-end data lineage (BIAN exposure is a plus).
• Data Quality: Implement validation, reconciliation, and monitoring for accurate, reliable data delivery.
• Stakeholder Engagement: Conduct workshops, gather requirements, and collaborate with business & tech teams.
• Agile Delivery: Work in cross-functional Agile squads and contribute to sprint execution.
• Documentation: Maintain data dictionaries, mappings, models, and API specs.
• Problem Solving: Troubleshoot pipeline/data issues and deliver actionable insights.

Required Skills

• 10+ years (12+ preferred) in Data Engineering
• Strong expertise in Python, SQL, DBT
• Hands-on experience with GCP data services
• Knowledge of ETL/ELT, data modelling, and data warehousing
• Experience with APIs, data quality frameworks, and monitoring (Splunk/Dynatrace)
• Strong communication and stakeholder management skills

Good to Have

• BI tools: Power BI, Tableau, Qlik
• BIAN framework knowledge
• Banking / Financial Services experience

How you will grow

At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there is always room to learn. We offer opportunities to help build excellent skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre.

Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our purpose

Deloitte is led by a purpose: To make an impact that matters.

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Communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world

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