Staff Engineer, GCP Big Data Engineer

Nagarro; Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Nagarro in Hyderabad is seeking a seasoned GCP Bigdata Engineer to design scalable data pipelines, build robust ETL/ELT workflows, and optimize BigQuery models.

You will work with Python, SQL, Spark/PySpark, and GCP services like Cloud Functions, Cloud Run, and Workflows, mentor juniors, and align data governance with security standards.

Qualifications

• Requires 6+ years of experience in data engineering.
• Expertise in Spark, Python/Pyspark, and GCP services (BigQuery, Cloud Run, Cloud Functions).
• Strong SQL skills and experience writing high-performance queries.
• Hands-on BigQuery experience and cloud-based data pipelines.

Responsibilities

• Architect scalable, high-performance data pipelines across structured and unstructured data sources.
• Develop robust ETL/ELT workflows using Python, SQL, and GCP-native services.
• Build and optimize BigQuery data models and performance tuning.
• Utilize Cloud Functions, Cloud Run, and Workflows for orchestration and processing.

Skills

GCP Bigdata Engineer

Python

SQL

Spark

Pyspark

BigQuery

Cloud Functions

Cloud Run

Cloud Workflows

Tools

dbt

Job description

We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500 experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENTS:

• Total experience: 6+ years.
• Excellent knowledge and experience in GCP Bigdata Engineer role.
• Strong working experience with architecture and development in Spark, Python/Pyspark, GCP (Bigquery, Cloud Run, Cloud Functions etc.), SQL.
• Strong programming proficiency in Python.
• Expertise in SQL with experience writing complex, high-performance queries.
• Hands-on experience with Google BigQuery (must have).
• Practical experience with Google Cloud Platform (GCP), including:

1. Cloud Functions
2. Cloud Run
3. Cloud Workflows

• Strong understanding of ETL/ELT design, data transformation, and workflow automation.
• Experience working with large-scale distributed data systems.

RESPONSIBILITIES:

• Architect, design, and implement scalable, high performance data pipelines across structured and unstructured data sources.
• Develop robust ETL/ELT workflows using Python, SQL, and GCP-native services.
• Build and optimize BigQuery data models, partitioning strategies, and performance tuning.
• Leverage GCP Cloud Functions, Cloud Run, and Workflows for orchestration, automation, and microservices-based data processing.
• Lead design discussions on data architecture, warehousing strategies, and best practices.
• Implement and manage dbt transformations including testing, documentation, and lineage tracking.
• Perform advanced data profiling, quality checks, validation, and partner with stakeholders to resolve data issues.
• Collaborate with data analysts, architects, product teams, and business stakeholders to ensure reliable data availability and governance.
• Mentor junior team members and contribute to cross functional technical leadership.
• Ensure compliance with security, governance, scalability, and performance standards.