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
Position Purpose:
- We are looking for a strong Data warehousing resource with 5 to 7 years of hands-on experience in IBM Datastage, strongSQL programm ing skills in Teradata database, good hands-on on python programming and CI/CD.
- The candidate will be a member of the Marketing Data Warehouse Tribe, working on the design, development and optimization of data integration processes.
- The candidate should be able to independently design, build, debug, maintain, and enhance data pipelines while collaborating effectively with different stakeholders.
- The role focuses on translating business requirements into robust, scalable data pipelines, data‑modeling and self‑service analytics while ensuring data‑quality, governance and performance standards of the BNP Paribas group.
- We are looking for top-notch, energetic talent to keep up with the industry’s momentum and support the team efforts.
Responsibilities:
Direct Responsibilities
- Design, build and maintain data pipelines in IBM Datastage to ingest, transform and expose data from source systems (Relational, flat files etc.) into the enterprise data warehouse.
- Implement data‑warehousing concepts (dimensional modelling, slowly‑changing dimensions, star/snowflake schemas) to support analytical reporting and BI consumption.
- Develop Python/Shell Scripting code to automate day-to-day tasks and perform required .
- Ensure data quality and consistency by defining validation rules, unit tests and automated data‑quality checks implementation.
- Collaborate with data architects and business analysts to translate functional requirements into technical specifications, functional designs and implementation plans.
- Document technical and functional artifacts (design specs, data dictionaries, operational run‑books) and contribute to knowledge‑base for the Data Tribe.
- Set up CI/CD pipelines (GitLab) to automate testing, versioning and deployment across environments (dev / test / prod).
- Support production incidents and perform root‑cause analysis, apply fixes and preventive measures.
- Drive technical excellence by establishing coding standards, performing architectural reviews, and mentoring junior engineers to foster a high-performing engineering culture.
Contributing Responsibilities
- Act as a team player and actively participate in squad ceremonies (stand‑ups, sprint planning, retrospectives).
- Adhere to Group standards (coding conventions, security, data‑governance, CI/CD).
- Promote a culture of continuous learning, sharing insights about data‑warehouse trends and emerging technologies.
- Work closely with cross‑functional teams (Data Scientist, BI, Business Units) to understand data needs and deliver reliable solutions.
- Able to integrate in a French-Indian agile extended team.
Technical & Behavioral Competencies
- Experience of 5-7 years in creating data-warehousing solutions using IBM Datastage.
- Strong background in data‑warehousing concepts, ETL pipelines and performance tuning.
- Strong SQL programming hands-on experience in creating procedures, functions, writing complex SQL queries.
- Programming - Strong hands-on experience in Python, concepts such as OOPs, reusable utilities, exception handling, debugging, and clean code practices.
- Hands‑on with GitLab, Jenkins, Ansible or similar tools to automate builds and deployments.
- Experience in Scheduling tool Autosys/any other.
- Experienced user of ALM/QC, JIRA, Confluence, SharePoint.
- Excellent oral and writing communication skills.
- Experience in working in Agile environment.
- Add‑On (Nice‑to‑have) Data Visualization – exposure to tools such as PowerBI/Tableau.
Specific Qualifications:
- Minimum5-7years of experience along with Bachelor's Degree - in IT, Computer related field or equivalent experience.
Skills Referential (Required knowledge, skills and abilities)
Other Skills:
- Agile methodology exposure
- Knowledge of banking products is a nice to have
- Proactive mindset
Behavioral Skills:
