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Data Engineer – GCP Dataflow Specialist (Senior Analyst) | Bengaluru | 2–5 Years Experience

Overview

Are you passionate about building scalable data solutions that drive real-time decision-making? Do you enjoy working at the intersection of data engineering, analytics, and cloud technologies? If yes, this is your opportunity to join a dynamic team of innovators as a Data Engineer – Data Science Analytics Senior Analyst in Bengaluru.

This full-time position seeks data professionals with proven experience in designing, developing, and maintaining advanced data pipelines and infrastructure using GCP Dataflow, with added exposure to tools like Google BigQuery. The role offers the opportunity to work on complex data ecosystems that empower digital transformation initiatives across diverse business domains.

Role Summary

As a Data Engineer, your primary responsibility will be to architect and implement robust data processing solutions that facilitate data generation, ingestion, transformation, and integration. You will work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to ensure the seamless flow of high-quality data across platforms.

The ideal candidate will possess a minimum of 3 years of hands-on experience with Google Cloud Platform (GCP) technologies, particularly GCP Dataflow, and demonstrate strong expertise in building ETL pipelines and scalable data frameworks.

Key Responsibilities

As part of the data engineering team, your core responsibilities will include:

• Design and Build Scalable Data Pipelines
  Develop and optimize robust ETL pipelines to facilitate efficient data movement and transformation across systems using Apache Beam and GCP Dataflow.
• Data Integration and Processing
  Integrate structured, semi-structured, and unstructured data from multiple sources into centralized storage solutions such as BigQuery or Cloud Storage.
• Data Quality and Monitoring
  Implement monitoring frameworks, data validation mechanisms, and alerts to ensure the consistency, reliability, and integrity of data throughout the pipeline lifecycle.
• Collaborative Development
  Partner with analysts, business users, and data scientists to gather requirements and translate them into scalable technical solutions.
• Cloud Infrastructure Optimization
  Leverage GCP’s managed services to enhance pipeline performance, scalability, and cost efficiency, ensuring seamless data delivery at scale.
• SME Contributions
  Grow into a Subject Matter Expert (SME) role, taking ownership of key components of the data infrastructure and mentoring junior engineers.

Professional & Technical Skills

Must-Have Skills

• Proficiency in GCP Dataflow
  Deep understanding of designing and deploying data pipelines using Apache Beam and GCP Dataflow for both batch and stream processing.
• ETL Development Expertise
  Strong background in implementing scalable ETL processes using modern frameworks and programming languages (e.g., Python, Java, or SQL).
• Data Modeling & Architecture
  Expertise in data warehouse concepts, schema design, and best practices for building analytics-ready data models.

Good-to-Have Skills

• Google BigQuery
  Experience with writing optimized SQL queries and building analytical datasets on BigQuery.
• Cloud Platform Fundamentals
  General understanding of other GCP services such as Cloud Functions, Pub/Sub, Cloud Composer, and Data Studio.
• DevOps & Automation
  Familiarity with version control (Git), CI/CD tools, infrastructure-as-code (Terraform), and monitoring tools like Stackdriver or Datadog.
• Agile & Scrum Practices
  Comfortable working in fast-paced, Agile environments with collaborative tools like JIRA and Confluence.

Candidate Requirements

• Experience: Minimum of 3 years in data engineering roles, with specific expertise in GCP Dataflow.
• Education: Any graduate degree is acceptable. Technical backgrounds in Computer Science, IT, or related disciplines are preferred.
• Location: Bengaluru, India
• Employment Type: Full-time

Why Join Us?

Innovate with Impact

Join a forward-thinking organization where your work contributes to digital transformation initiatives across global industries. As part of a high-performing team, you’ll solve meaningful data challenges that impact real-world business outcomes.

Career Growth and Mentorship

As a Senior Analyst, you’ll be encouraged to take ownership of your work and evolve into a subject matter expert. With access to professional development resources and continuous learning, you’ll advance your career in data engineering and cloud technology.

Collaborative Culture

Work in an environment where teamwork, open communication, and mutual respect are the foundation. Collaborate with some of the brightest minds in data engineering and analytics.

Future-Ready Technology Stack

Get hands-on experience with cutting-edge tools in the Google Cloud ecosystem, including BigQuery, Cloud Dataflow, and Pub/Sub, setting the stage for a future-proof career in cloud data engineering.

Day in the Life of a Data Engineer

A typical day in this role might include:

• Participating in daily stand-ups and sprint planning meetings with the Agile team.
• Designing a data ingestion pipeline from a new source system into BigQuery.
• Writing Apache Beam jobs for real-time processing in GCP Dataflow.
• Conducting code reviews and optimizing existing pipelines for performance and cost.
• Collaborating with data scientists to prepare features for machine learning models.
• Monitoring and troubleshooting pipeline failures using Stackdriver and logging frameworks.
• Documenting pipeline architecture and contributing to shared technical knowledge bases.

Ideal Candidate Profile

The ideal candidate will be someone who:

• Has a strong problem-solving mindset and a passion for working with data.
• Understands the nuances of cloud-based architectures and distributed systems.
• Enjoys automating workflows and optimizing data infrastructure.
• Can work independently while also collaborating effectively with team members.
• Is proactive in identifying opportunities to improve data quality, scalability, and performance.

Company Culture and Vision

This role is part of an organization known for blending technology innovation with human ingenuity. The team is driven by a shared purpose: to harness the power of data and cloud technologies to help businesses solve complex challenges and build sustainable, data-driven ecosystems.

As a global leader in technology services, the organization emphasizes long-term value for clients, employees, and communities. With offices and operations across 40+ industries and markets, your contribution will have a wide-reaching impact.

Application Process

Interested in joining as a Data Engineer in our Bengaluru office? Here’s how to apply:

1. Update Your Resume
   Highlight relevant experience in GCP, Dataflow, ETL development, and cloud data architecture.
2. Prepare for Interview
   Be ready to discuss past projects, showcase your problem-solving approach, and demonstrate hands-on knowledge of GCP tools.
3. Apply Online
   Submit your application through our careers portal, referencing Job No. ATCI-4074388-S1581568.

Final Thoughts

This is more than just a job—it’s an opportunity to engineer the future of data. If you’re a skilled data engineer with expertise in GCP Dataflow and a desire to solve real-world business challenges, this role is for you.

Apply now and be part of a company that values innovation, collaboration, and continuous growth.

Apply Here