Software Engineer - Data Engin · Mumbai City

Software Engineer - Data Engineering is a delivery-focused opportunity based in Mumbai City, India.

What role you will play in team: You will be a key member of our data engineering team, responsible for building and maintaining data pipelines and infrastructure.What you will do: You'll design and implement scalable data solutions for BCG's internal and client projects.Key responsibility:Design, build, and maintain data pipelines.Develop and maintain data warehousing solutions.Develop and maintain data quality monitoring systems.Collaborate with data scientists and analysts.Work with large datasets and implement efficient data processing techniques.Use cloud-based data warehousing and analytics services (e.g., AWS, Azure, GCP).Required Qualification and Skills:Bachelor's degree in Computer Science or related field.Experience with data warehousing and ETL processes.Proficiency in SQL and at least one scripting language (e.g., Python, Shell).Experience with cloud-based data services (e.g., AWS, Azure, GCP).Experience with data modeling and database design.Excellent problem-solving and analytical skills.Benefits Included:Competitive salary and benefits package.Opportunities for professional development.A challenging and rewarding work environment.Health insurance.Paid time off.A Day in the Life: A typical day includes designing data pipelines, troubleshooting problems, collaborating with team members, and working on optimization of data processes.

Key Responsibilities

• What role you will play in team: You will be a key member of our data engineering team, responsible for building and maintaining data pipelines and infrastructure.What you will do: You'll design and implement scalable data solutions for BCG's internal and client projects.Key responsibility:Design, build, and maintain data pipelines.Develop and maintain data warehousing solutions.Develop and maintain data quality monitoring systems.Collaborate with data scientists and analysts.Work with large datasets and implement efficient data processing techniques.Use cloud-based data warehousing and analytics services (e.g., AWS, Azure, GCP).Required Qualification and Skills:Bachelor's degree in Computer Science or related field.Experience with data warehousing and ETL processes.Proficiency in SQL and at least one scripting language (e.g., Python, Shell).Experience with cloud-based data services (e.g., AWS, Azure, GCP).Experience with data modeling and database design.Excellent problem-solving and analytical skills.Benefits Included:Competitive salary and benefits package.Opportunities for professional development.A challenging and rewarding work environment.Health insurance.Paid time off.A Day in the Life: A typical day includes designing data pipelines, troubleshooting problems, collaborating with team members, and working on optimization of data processes
• Design, build, and improve software systems that support the goals of the Software Engineer - Data Engineering function.
• Translate product or business requirements into clean, maintainable technical solutions.
• Write high-quality code with appropriate testing, code review, and documentation discipline.
• Collaborate with product, design, QA, and peer engineers to deliver reliable releases.
• Investigate bugs, performance issues, and production risks with a strong root-cause mindset.
• Improve system reliability, observability, and maintainability through thoughtful engineering decisions.
• Contribute to architecture and implementation discussions with pragmatic technical trade-offs.
• Break down complex work into clear milestones and communicate status transparently.
• Refactor and simplify existing code where it improves long-term velocity and quality.
• Support release readiness by validating edge cases, dependencies, and rollback considerations.
• Share knowledge through pairing, mentoring, documentation, and constructive code reviews.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in computer science, engineering, or a related field.
• Strong coding fundamentals with attention to reliability, performance, and maintainability.
• Experience working with code reviews, testing practices, and collaborative delivery workflows.
• Ability to break down ambiguous problems into clear technical solutions.
• Comfort partnering with cross-functional teams in iterative product or platform environments.
• Strong debugging, communication, and ownership skills across the software lifecycle.

Applications should be submitted through the listed apply link.