DBT Developer

Job Title:  DBT Developer - Pune

About Us

"Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Job Title: DBT Developer - Pune

Location: Pune

Work Mode: Hybrid (3 days WFO - Tues, Wed, Thurs)

Shift Time: 12.30 PM TO 9.30 PM

Job Summary

We are seeking a skilled and detail-oriented DBT Engineer to join our cross-functional Agile team. In this role, you will be responsible for designing, building, and maintaining modular, reliable data transformation pipelines using dbt (Data Build Tool) in a Snowflake environment. You will collaborate closely with backend and frontend engineers, product managers, and analysts to create analytics-ready data models that power application features, reporting, and strategic insights. This is an exciting opportunity for someone who values clean data design, modern tooling, and working at the intersection of engineering and business.

Key Responsibilities

• Design, build, and maintain scalable, modular dbt models and transformation pipelines using DBT Core. DBT Cloud experience is good to have.
• Understand DBT Architecture thoroughly and experience in writing Python operators in DBT flow. Strong experience in writing Jinja code, macros, seeds etc.
• Write SQL to transform raw data into curated, tested datasets in Snowflake.
• Knowledge of data modeling techniques like data vault and dimensional modeling (Kimball/Inmon).
• Collaborate with full-stack developers and UI/UX engineers to support application features that rely on transformed datasets.
• Work closely with analysts and stakeholders to gather data requirements and translate them into reliable data models.
• Enforce data quality through rigorous testing, documentation, and version control in dbt.
• Participate in Agile ceremonies (e.g., stand-ups, sprint planning) and manage tasks using Jira.
• Integrate dbt into CI/CD pipelines and support automated deployment practices.
• Monitor data performance and pipeline reliability, and proactively resolve issues.

Mandatory Qualifications & Skills

• 3–5 years of experience in data engineering or analytics engineering, with a focus on SQL-based data transformation.
• Hands-on production experience using dbt core or dbt cloud as a primary development tool.
• Strong command of SQL and solid understanding of data modeling best practices (e.g., star/snowflake schema).
• Proven experience with Snowflake as a cloud data warehouse.
• Python skills for data pipeline integration or ingestion.
• Familiarity with Git-based version control workflows.
• Strong communication and collaboration skills, with the ability to work across engineering and business teams.
• Experience working in Agile/Scrum environments and managing work using Jira.

Nice-to-Have Skills

• Knowledge of data orchestration tools (e.g., Apache Airflow) is a big plus.
• Exposure to CI/CD pipelines and integrating dbt into automated workflows.
• Experience with cloud platforms such as AWS.
• Familiarity with Docker and container-based development.
• Understanding of how data is consumed in downstream analytics tools (e.g., Looker, Tableau, Power BI).

Preferred Experience

• A track record of building and maintaining scalable dbt projects in a production setting.
• Experience working in cross-functional teams involving developers, analysts, and product managers.
• A strong sense of ownership, documentation habits, and attention to data quality and performance.

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit  Follow us on Twitter, Facebook, LinkedIn, and YouTube.