DataHub - DataHub L3 (5.1-7 years)

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 ,   strong SQL   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 art i facts   (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:    Communication Communication   Analytical Ability   Team Player   Education Level:  Bachelor Degree or equivalent   Location:  Mumbai / Thane  

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