Company: Uber
Role: Software Engineer II – Data
Qualification: Bachelor’s Degree in Computer Science or related field
Batch: 2021 / 2022 / 2023 / 2024 / 2025
Experience: Freshers and up to 3 years of experience
Salary: ₹3 – ₹10 LPA (Expected)

About Uber

Uber Technologies Inc. is a global technology company headquartered in San Francisco, USA, best known for revolutionizing mobility through its ride-sharing platform. Over the years, Uber has expanded into multiple verticals, including Uber Eats, Uber Freight, and advanced mobility solutions. The company’s core mission is to make movement seamless and accessible for everyone, everywhere.

In India, Uber continues to grow rapidly by leveraging technology, innovation, and data-driven insights. Joining Uber as a Software Engineer II – Data provides an incredible opportunity to work with one of the most advanced data engineering teams in the world.

Role Overview: Software Engineer II – Data

As a Software Engineer II (Data), you will be part of Uber’s core data engineering team responsible for building and optimizing large-scale data pipelines and infrastructure. You’ll work closely with analytics, engineering, and product teams to deliver data products and insights that support Uber’s operational and business strategies.

This role offers a mix of hands-on coding, system optimization, and collaboration across teams, making it ideal for candidates passionate about data systems and software engineering.

Key Responsibilities

• Build scalable data products for business use cases (both batch and real-time processing).
• Develop and maintain metrics, dashboards, and data models to meet analytical and operational needs.
• Drive performance optimizations to improve system efficiency, ensure better SLA compliance, and maintain data quality standards.
• Collaborate with cross-functional teams, including product engineering, to define and implement best data engineering practices.
• Work on data architecture enhancements and contribute to Uber’s core data infrastructure.
• Continuously improve data quality, integrity, and compliance.

This position demands both strong coding skills and a keen understanding of data technologies used in distributed systems.

Required Skills and Qualifications

Basic Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related technical discipline.
• Proficiency in one or more programming languages such as Java, Python, Go, JavaScript, or Fusion.
• Strong understanding of data frameworks and tools such as Apache Spark and Hive.
• Solid problem-solving and analytical thinking abilities.

Preferred Qualifications:

• Experience with data warehouse development and management.
• Deep expertise in data tech stacks like Spark, Hive, and Hadoop.
• Familiarity with cloud-based platforms (AWS, GCP, or Azure).
• Scripting and automation skills to streamline data workflows.
• Exposure to big data analytics tools and distributed computing environments.

Educational Requirements

• A Bachelor’s Degree in Computer Science, Data Science, Information Technology, or related fields is mandatory.
• Master’s degree holders in similar domains will have an added advantage.
• Students from batches 2021 to 2025 are eligible to apply, provided they meet the technical requirements.

Candidates should demonstrate strong technical fundamentals, including data structures, algorithms, and database concepts, along with hands-on coding proficiency.

Salary Details

The expected salary range for this role is ₹3 – ₹10 Lakhs per annum, depending on experience, skillset, and interview performance.

• Freshers: ₹3 – ₹6 LPA (approximate).
• Experienced (1–3 years): ₹7 – ₹10 LPA (approximate).

Uber is known for offering competitive pay, bonuses, and stock options, making it one of the best-paying companies in the tech industry.

Application Process

All interested candidates must apply directly through Uber’s official career page. Follow these steps carefully:

1. Visit Uber Careers.
2. In the search bar, type “Software Engineer II – Data” and filter by location (Hyderabad, India).
3. Open the job post and review all details carefully.
4. Click on “Apply Now” and sign in with your email or LinkedIn account.
5. Upload your updated resume, fill in your educational and experience details, and submit the application.

Make sure your resume reflects relevant experience in data technologies and programming languages mentioned in the job post.

Interview Process

The Uber recruitment process is designed to evaluate both technical and behavioral competencies. Below are the typical stages:

1. Online Assessment Test:
   • Questions on data structures, algorithms, and coding (Python, Java, or Go).
   • May include SQL queries and data handling challenges.
2. Technical Interviews (2–3 rounds):
   • Deep dive into problem-solving, data pipeline design, distributed systems, and real-time data architecture.
   • Expect questions on Spark, Hive, and system optimization.
3. Managerial / Behavioral Interview:
   • Assesses teamwork, ownership, communication skills, and alignment with Uber’s core values.
4. Final HR Round:
   • Discussion on compensation, job expectations, and work culture fit.

Tip: Review Big Data concepts, ETL pipelines, and SQL performance optimization before attending interviews.

Benefits of Working at Uber

Working at Uber comes with exceptional perks and professional growth opportunities:

• Competitive salary with annual performance bonuses.
• Health insurance, wellness programs, and paid leaves.
• Access to cutting-edge technology and data platforms.
• Opportunity to collaborate with top data engineers globally.
• Mentorship programs and learning resources for upskilling.
• Flexible work arrangements and hybrid working options.
• Inclusive and diverse work culture that values innovation and teamwork.

Uber focuses on continuous growth, providing every employee with the tools and freedom to make a real impact.

Resume Tips for Applicants

A strong resume is crucial to get shortlisted at Uber. Here’s what to include:

• Keep your resume concise (1–2 pages) with clear formatting.
• Highlight technical skills in Java, Python, SQL, Spark, and Hive.
• Include academic projects, internships, or certifications related to data engineering or software development.
• Add achievements that show problem-solving or optimization skills.
• Use relevant keywords like data pipelines, distributed systems, cloud technologies, and big data for better visibility in automated screenings.

Apply Link: Click Here

Important Note

The above post is for informational purposes only. All candidates are advised to verify the official job details and eligibility directly on Uber’s official career portal before applying. Salary, requirements, and process may vary based on role updates or location.