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Job Overview
| Category | Details |
|---|---|
| Job Role | GCP Data Engineer |
| Company | Sutherland Global Services |
| Location | Hyderabad, Telangana, India |
| Work Mode | Full-time (On-site/Hybrid as per company norms) |
| Experience | Mid-Senior level (Typically 3+ years) |
| Education | Bachelor’s/Master’s in Computer Science, IT, Data Engineering or related |
| Skills Required | GCP services, Pub/Sub, Dataflow, Dataproc, Python/Java, Kafka |
About Company
Sutherland Global Services is a global digital transformation leader combining human expertise with advanced technologies to drive measurable outcomes. Sutherland partners with global brands to enhance operations through analytics, cloud, automation, and customer experience solutions. The company fosters a performance-driven and collaborative work environment with opportunities to work on high-impact tech projects.
Detailed Responsibilities
As a GCP Data Engineer at Sutherland, your key responsibilities will include:
Designing and implementing data ingestion pipelines using cloud messaging and streaming technologies.
Building scalable data layers including raw and structured data storage.
Developing streaming and batch data workflows using managed data services on Google Cloud.
Applying schema management and ensuring data lineage is preserved.
Creating automated orchestration pipelines for efficient data workflows
Collaborating with data engineers and stakeholders to deliver robust analytics platforms.
Implementing data storage partitioning, cataloging, and metadata management.
Eligibility Criteria
Strong experience with core Google Cloud Platform services including Cloud Storage, Pub/Sub, Dataflow, Dataproc, and Cloud Composer.
Expertise in real-time data frameworks, event-driven architectures, and streaming ingestion patterns.
Proficiency in programming languages like Python and/or Java for pipeline development.
Solid understanding of data formats, compression, and schema inference for large-scale data.
Familiarity with data lifecycle controls, logging, audit, and compliance patterns.
Good analytical thinking, problem solving, and communication skills.
Skills Required / Preferred Skills
Deep knowledge of GCP data ecosystem and cloud data engineering principles.
Experience with streaming platforms like Kafka and cloud messaging services.
Understanding of orchestration tools and automated workflow design.
Ability to implement data governance and security best practices.
Preferred certifications such as GCP Professional Data Engineer enhance your profile.
Selection Process
| Stage | Description |
|---|---|
| Resume Screening | Evaluation of skills, GCP experience & data engineering background |
| Technical Assessment | Hands-on SQL, cloud, and pipeline design evaluation |
| Technical Interview | Discussion on architecture, workflows & cloud best practices |
| Final HR Round | Culture fit, salary discussion & offer |
Salary & Benefits
Analytics and cloud data engineering roles at Sutherland typically offer competitive salaries and benefits reflective of mid-senior cloud engineering positions. Data engineers in similar roles at Sutherland in India have total compensation packages that can range broadly depending on experience and technical expertise, with averages aligned to industry standards for cloud and big data positions. Typical benefits include comprehensive health coverage, performance incentives, paid time off, retirement/provident fund contributions, continuous learning opportunities, and career progression support within global delivery teams.
How to Apply (Step-by-Step)
Visit the official Sutherland careers job posting.
Click the apply button and sign in or create your profile on the careers portal.
Enter your personal, educational, and professional details.
Upload your updated resume/CV.
Submit your application and check your email for follow-up communication.
👉 Apply here
Resume Tips
Keep your resume concise and highlight cloud data engineering skills.
Emphasize experience with GCP services and pipeline automation.
Include relevant certifications and practical project work.
Use a professional email and updated contact information.
Assessment / Interview Tips
Practice cloud data engineering scenarios with GCP.
Review streaming and batch pipeline architectures.
Be ready to explain real-world use cases and optimization techniques.
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