Dataiku Developer

Dataiku Developer

Job Title:   Dataiku Developer

Location-Mumbai

Exp-7-10 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

Job Title:  Dataiku Developer – Data Analytics & Reporting

Domain: Payment 

Exp: 6-9 years

Location: Mumbai

Position Purpose:

• We are looking for a strong Datawarehousing resource with 6 to 8 years of hands-on experience in Dataiku DSS, strong SQL programming skills in PostgreSql or Teradata databases, good hands-on on python programming and basic tableau reporting.
• Thecandidate will be a core member of the Data Analytics & Reporting Tribe, working on the design, development and operationalization of end‑to‑end data solutions using Dataiku DSS.
• The candidate should be able to independently design, build, debug, maintain, and enhance analytics solutions while collaborating effectively with business teams.
• 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 maintaindata pipelines, recipes and flows in Dataiku DSS to ingest, transform and expose data from source systems (PostgreSQL, Teradata, flat files, etc.) into the enterprise data warehouse / lake.
• Implement data‑warehousing concepts(dimensional modelling, slowly‑changing dimensions, star/snowflake schemas, data vault) to support analytical reporting and BI consumption.
• Develop reusable Python code(Pandas, PySpark, SQLAlchemy) within Dataiku plugins, recipes and notebooks for data cleansing, enrichment and advanced analytics.
• Ensure data quality and consistencyby defining validation rules, unit tests and automated data‑quality checks inside Dataiku.
• Collaborate with data architects and business analyststo translate functional requirements into technical specifications, functional designs and implementation plans.
• Document technical and functional artefacts(design specs, data dictionaries, operational run‑books) and contribute to knowledge‑base for the Data Tribe.
• Set up CI/CD pipelines(GitLab) for Dataiku projects to automate testing, versioning and deployment across environments (dev / test / prod).
• Monitor and optimisepipeline performance, storage utilisation (Parquet/ORC) and cost on the cloud infrastructure (Kubernetes Engine, IBM Cloud).
• Support production incidentsand perform root‑cause analysis, applying fixes and preventive measures.
• Mentor junior team membersand champion best practices in data engineering and Dataiku usage.

 

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 Dataiku, 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 6-8 years in creating data-warehousing solutions using Dataiku DSS required.
• Strong background in data‑warehousing concepts, ETL design, and performance tuning.
• Experience building projects, recipes, plugins, APIs and orchestrations in Dataiku.
• Strong SQL programming hands-on experience in creating procedures, functions, writing complex SQL queries. Knowledge on PostreSql / Teradata will be a add-on.
• Programming - Strong hands-on experience in Python, concepts such as OOPs, reusable utilities, exception handling, debugging, and clean code practices and scripting within Dataiku.
• Hands‑on with GitLab or similar tools to automate builds and deployments.
• Knowledge of Kubernetes, Docker and cloud storage (COS) for scalability.
• Experience with Parquet, ORC and other columnar storage formats.
• 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) Apache Airflow – experience building DAGs and orchestrating Dataiku pipelines.
• Add‑On (Nice‑to‑have) Data Visualization – exposure to tools such as Tableau.
• Add‑On (Nice‑to‑have) Streaming / Search – familiarity with Kafka, Elasticsearch, Kibana.

 

Specific Qualifications:

• Minimum 6 - 8 years 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

Experience Level

Senior Level