Position Summary:

To help drive this next chapter, we're seeking a talented and innovative Senior Engineer, Quality Engineering to join our Test Data Engineering & Automation organization. This role develops test data solutions, database automation, data masking, synthetic data generation, and cloud-based data processes that improve testing quality and efficiency. You will collaborate across engineering, architecture, product, quality, security, DevOps, and business teams as relevant to deliver scalable, reliable, and high-quality technology solutions.

The ideal candidate combines strong SQL and database engineering skills, practical automation experience, and an interest in AI-enabled test data generation.

Job Responsibilities:

Technology & Delivery:

- Develop test data generation and provisioning solutions.
- Support data masking and synthetic data processes.
- Work across relational and NoSQL databases.
- Build automation using Python, Java, and REST APIs.
- Integrate test data processes with cloud and DevOps workflows.

Collaboration & Engineering Excellence:

- Partner with cross-functional teams to translate business and technical needs into effective solutions.
- Participate in architecture, design, code, and quality reviews as appropriate to the role.
- Promote automation, reusable engineering practices, operational excellence, and continuous improvement.
- Support Agile planning, transparent delivery, documentation, and knowledge sharing.

Qualifications:

Required Experience:

- 4 to 6 years of progressive experience in software engineering, quality engineering, platform engineering, data engineering, security engineering, or a closely related field, aligned to the role.
- Demonstrated experience delivering complex enterprise technology solutions.
- Strong analytical, problem-solving, collaboration, and communication skills.
- Experience operating within Agile, DevOps, or continuous delivery environments.

Required Technical Skills:





- Test Data Engineering and Automation
- SQL and Database Engineering
- Data Masking and Synthetic Data
- Cloud and DevOps Data Management
- AI and LLM-Enabled Test Data Generation

Preferred Skills & Experience:

- Advanced SQL
- Oracle
- PostgreSQL
- SQL Server
- MongoDB
- Python
- Java
- REST APIs
- AWS

Education:

- Bachelor's degree in computer science and engineering or equivalent

Note: This position is based in Pune, and applications are currently being considered from candidates based in Pune.

Talent Value Proposition statement:

At DIRECTV India, we're building a culture with our people, not for them, grounded in the values of We Care, We Challenge, and We Deliver. We will focus on building a better future than yesterday for our colleagues, customers, and company. As part of our team, you'll help shape the future of enterprise data platforms, enable advanced analytics and AI innovation, and contribute to business-critical capabilities that impact millions of customers. If you're ready to bring your expertise, leadership, and passion for innovation to a team redefining entertainment technology, we'd love to have you join us on this journey.

Headquartered in El Segundo, California, DIRECTV has been a household name in sports and entertainment for 30 years. We've grown our global footprint with DIRECTV India, a capability center in Pune built to support our operations and speed up how we build new technology. Here, our teams work on the platforms and products that bring together satellite and streaming, so customers get their favorite content without the hassle of switching between apps or inputs. From AI-driven personalization to content built around what people actually want to watch, we're shaping what entertainment looks like next, and Pune is a big part of that.

DIRECTV is an equal prospect employer. Employment decisions are based on business requirements, qualifications, merit, and performance, without discrimination on the basis of legally protected characteristics under applicable laws.

📌 Senior Engineer, Quality Engineering IND (Pune)
🏢 DIRECTV India
📍 Pune