Boston Consulting Group
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Gurugram · On-site · 3-5 Yrs · 4 days ago
Business consulting · 10000+ Employees · Boston, US
Boston Consulting Group (BCG) partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we work closely with clients to embrace a transformational approach aimed at benefiting all stakeholders—empowering organizations to grow, build sustainable competitive advantage, and drive positive societal impact. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives that question the status quo and spark change. BCG delivers solutions through leading-edge management consulting, technology and design, and corporate and digital ventures. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, fueled by the goal of helping our clients thrive and enabling them to make the world a better place.
Hiring: Engineering
What employees say
+ Nice to work, good growth
− Wlb can suck, nothing much
More reviews on the company profile.
Interview experience · Global IT Platform Engineer Senior Manager & Chapter Lead
The interview process consisted of **three rounds**. * **Round 1:** Recruiter screening focused on my background, years of experience, current role, leadership experience, and motivation for joining the company. * **Ro
Difficult difficulty · India · 322 reports
More interview insightsJob description
Overview
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities.
Responsibilities
- Design, document, and build the data pipelines and transformations to feed data models in Snowflake.
- Own and maintain the overall data model: entity definitions, relationships, and documentation.
- Develop automated tests and manual testing approaches to ensure correctness and completeness of the data.
- Be accountable for data mapping and source system analysis (supported by data analysts).
- Be accountable for translating functional requirements into build specifications.
- Be accountable for solution design and technical architecture.
- Be the day-to-day technical leader for the data engineering team.
- Review work from other team members to ensure quality standards are met and provide feedback for growth.
- Help drive technical planning, delivery, measurement, operations, and support for the assets the team delivers and maintains.
Qualifications
- Bachelor’s degree or equivalent combination of education and experience.
- 5+ years of IT/engineering experience with a major focus on data warehousing, analytics, or data engineering.
- Hands-on experience developing with dbt is required.
- Hands-on experience with Snowflake or other modern analytical data warehouses is required.
- Experience designing and building SCDs, CDC pipelines, and DQ/DV frameworks.
- Experience designing and building data models for analytical and operational workloads and familiarity with concepts like dimensional modeling and data vault.
- Experience working with agile methodologies (Scrum) with cross-functional teams.
- Excellent written and oral communication and presentation skills to present architecture, features, and solution recommendations.
- Functional product portfolio technical leaders, product owners, and functional area teams working across software development, SaaS, AI, and data.
- Enterprise data platform, enterprise architecture, infrastructure, and security teams.
- You have extensive experience in data warehousing, data modeling, and building and maintaining data pipelines. You are well-versed in modern data tooling like dbt, Fivetran, Snowflake, and AWS Glue. You have a strong ability to transform functional requirements and the outputs of business analysis into technical specifications and build requirements. You enjoy ensuring that each new thing that is implemented builds the platform’s overall capabilities and reusability.
- Strong analytical skills related to working with structured, semi-structured, and unstructured datasets.
- Ability to partner with product owners to identify requirements, define desired outcomes, and deliver trusted, valuable results.
- Experience designing and building processes to promote engineering excellence and efficiency.
- Demonstrably deep understanding of SQL (advanced level) and analytical data warehouses (Snowflake is preferred).
- Hands-on experience with SQL database design, developing with dbt, and familiarity with Python (especially pyspark), AWS Glue, and AWS cloud.
- Familiarity with Jira and Confluence.
- Eagerness to continually keep up with advancements in data engineering and AI-assisted engineering practices.
- Bachelor’s degree in information science, data management, computer science, or related fields preferred.
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Last updated 5 November 2026
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