Senior Data Engineer Job Opportunity in Hyderabad – A High-Growth Role for Data Experts

In today’s fast-paced digital economy, data has become the backbone of every successful business decision. As companies continue to shift toward cloud-first, data-driven ecosystems, the role of a Senior Data Engineer has never been more crucial.

If you’re an experienced data professional looking for your next big challenge, this Senior Data Engineer job in Hyderabad—offered by a client of HyrEzy through SourcingXPress—is a perfect opportunity to take your career to the next level.

This isn’t just another data engineering role. It’s a full-time, on-site position offering ₹20–22 LPA, working in a Series A funded product-based startup that’s redefining how organizations use data, AI, and automation to make intelligent decisions.

Let’s explore the details of this role, the skills you need, the technologies you’ll work with, and why this is one of the most exciting data engineering jobs in Hyderabad today.

About the Company

The hiring company (a client of HyrEzy) is a fast-growing B2B product startup in the Software Development industry. The organization’s mission is simple yet powerful — to help businesses become intelligent, information-driven organizations where every decision is backed by data.

With a blend of strategic consulting and growth-enabling technologies, they empower companies to manage risk, harness the power of data, and leverage AI and automation effectively.

Backed by professionals with Big Four consulting experience, this company is redefining business transformation, data management, and process efficiency. Their solutions help enterprises transition into next-generation, cloud-based data ecosystems.

Role Overview – Senior Data Engineer (Snowflake & DBT)

As a Senior Data Engineer, you’ll be at the heart of the company’s data ecosystem. You’ll design, build, and optimize scalable, high-performance data pipelines that serve as the foundation for analytics, reporting, and AI-driven insights.

This is a lead-level position, ideal for engineers who love solving complex data problems and mentoring others. You’ll own projects end-to-end — from data architecture and modeling to deployment and governance — while ensuring that business stakeholders have access to clean, reliable, and actionable data.

Location & Work Model

Location: Hyderabad, Telangana
Type: Full-time, On-site (No Hybrid / Work from Home options)
Working Days: 5 Days a Week

Key Responsibilities

As a Senior Data Engineer, your work will involve a mix of architecture, data modeling, engineering leadership, and collaboration.

Here’s a closer look at your responsibilities:

1. Architect and Implement ELT Pipelines

Develop modular, test-driven ELT pipelines using DBT (Data Build Tool) on Snowflake.
Build staging, intermediate, and mart layers following the Medallion Architecture (Bronze, Silver, Gold) model.

2. Data Integration and Ingestion

Ingest structured and semi-structured data from diverse sources — APIs, flat files, cloud storage like Azure Data Lake and AWS S3, and relational databases.

3. Performance Optimization

Optimize Snowflake warehouses for cost and speed.
Use query profiling, clustering, and materializations to fine-tune performance and minimize credits.

4. Advanced DBT Development

Leverage DBT macros, packages, tests, sources, exposures, and documentation using DBT Docs.
Maintain code versioning via Git and ensure continuous delivery via CI/CD pipelines.

5. Orchestration and Automation

Orchestrate workflows using DBT Cloud, Airflow, or Azure Data Factory.
Integrate data workflows seamlessly with cloud infrastructure and analytics systems.

6. Data Security & Governance

Implement RBAC (Role-Based Access Control) and data encryption.
Ensure compliance with frameworks like HIPAA and follow governance best practices.

7. Leadership and Mentoring

Lead by example — review code, mentor junior engineers, and enforce data quality and performance standards.
Collaborate closely with data scientists, business analysts, and architects to design robust data solutions.

8. Client Engagement

As this is a consulting-style environment, you’ll engage directly with clients — from understanding business requirements to delivering data-driven outcomes.

Required Skills and Technical Expertise

The Senior Data Engineer role demands not just technical depth but also a consultative mindset and strong communication skills.

Core Technologies

Snowflake: Advanced knowledge in query optimization, clustering, cost control, and performance tuning.
DBT: Modular data modeling, macro design, testing, documentation, and best practices.
Azure Data Factory: Orchestrating workflows and integrating various data sources.
Python: For scripting, automation, and transformation logic.
SQL: Expert-level query design and optimization.
Jinja: Exposure to templating for DBT models (a plus).

Data Architecture

Understanding of Medallion Architecture (Bronze/Silver/Gold layers).
Experience in dimensional modeling (Star/Snowflake schema) and handling Slowly Changing Dimensions (SCDs).
Proficiency in working with formats like Parquet, JSON, and CSV.

Governance & Security

Implementing DBT tests for data validation and integrity.
Familiarity with data encryption, secure key management, and Snowflake RBAC.

Soft Skills

Excellent communication and stakeholder management.
Ability to lead teams, mentor juniors, and ensure project delivery in Agile environments.
Strong problem-solving mindset and attention to detail.

Educational Qualification and Certifications

Bachelor’s or Master’s Degree in Computer Science, Data Engineering, or a related field.
Preferred Certifications:
- Snowflake SnowPro Advanced
- DBT Certified Developer

These certifications aren’t mandatory but can make your application stand out, especially in a data engineering leadership role like this.

Compensation and Benefits

Salary Range: ₹20,00,000 – ₹22,00,000 per annum (₹2M – ₹2.2M/yr)
Employment Type: Full-time, Permanent
Work Model: 5 days on-site in Hyderabad

Beyond the numbers, the company offers immense learning and leadership opportunities. You’ll get to work on modern data architecture projects using cutting-edge Azure technologies, and collaborate with a team that’s deeply passionate about data innovation.

Why This Opportunity Stands Out

In a market flooded with remote data engineering jobs, this on-site opportunity in Hyderabad offers something different — real-time collaboration, leadership exposure, and end-to-end ownership.

Here’s what makes it special:

🔹 Hands-On Leadership

You won’t just write code — you’ll define architecture, review implementations, and lead delivery. This is perfect for mid-senior professionals ready to step into data leadership roles.

🔹 Modern Tech Stack

Work with a cloud-native stack that includes Snowflake, DBT, Azure Data Factory, and Python, empowering you to build next-gen data systems.

🔹 Impactful Work

Your solutions will directly enable organizations to make data-driven business decisions. You’ll help shape the data backbone of large-scale digital transformation projects.

🔹 Collaborative Culture

You’ll join a team that values mentorship, innovation, and continuous learning — a true playground for engineers passionate about modern data architectures.

Interview Process

The hiring process is streamlined and transparent:

Round 1 – Technical Interview:
Focus on Snowflake, DBT, SQL optimization, and data modeling concepts.
Round 2 – Leadership & Communication:
Evaluates project ownership, team management, and stakeholder communication skills.

Given the client-facing nature of the role, communication and presentation skills are highly valued.

Career Growth Path

As a Senior Data Engineer, this role opens multiple growth directions:

Lead Data Engineer / Data Architect roles within 1–2 years.
Transition into Data Platform Leadership, managing entire data ecosystems.
Opportunity to mentor and build teams as the company scales.

Tips to Apply and Stand Out

If you’re planning to apply for this Senior Data Engineer position, here are a few tips to strengthen your profile:

Highlight Snowflake and DBT Projects:
Show real-world examples of how you optimized data pipelines or improved query performance.
Show Leadership Impact:
Mention how you’ve mentored teams, defined best practices, or delivered end-to-end projects.
Demonstrate Cloud Expertise:
Include experience with Azure Data Factory, Data Lake, or Airflow orchestration.
Quantify Achievements:
Use metrics like “reduced query cost by 30%” or “improved ETL efficiency by 40%” to show tangible value.

How to Apply

You can apply directly through the official LinkedIn job post using the link below:
🔗 Apply Now for Senior Data Engineer (Hyderabad)

Company Profile – SourcingXPress

🔗 Visit SourcingXPress on LinkedIn

Final Thoughts

This Senior Data Engineer job in Hyderabad is not just another technical role—it’s a gateway to leadership, innovation, and large-scale impact in the world of data.

If you have 6–10 years of experience, excellent communication skills, and hands-on expertise in Snowflake, DBT, Azure Data Factory, and Python, this could be the perfect next step in your career journey.

It’s rare to find roles that combine cutting-edge technology, architectural ownership, and client-facing exposure—all within a high-growth startup culture.

So, if you’re passionate about building robust, scalable data ecosystems and want to work with a forward-thinking team, this is your moment.

👉 Apply now via LinkedIn for the Senior Data Engineer position at SourcingXPress (Client of HyrEzy) — and take the next big leap in your data engineering career.

Verified Job Opportunity

All job details are verified from official sources such as LinkedIn and Naukri. Please apply only through official links mentioned above to ensure authenticity.

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