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Dataiku Developer, Data Analytics & Reporting

Capco

On-site
Bengaluru, India
Full-time
Senior
7+ yrs
Salary not listedPosted 4w ago

Real job — pulled straight from Capco’s careers page · Verified July 18, 2026 · No reposts.

Job description

Capco is hiring a Dataiku Developer, Data Analytics & Reporting — a full-time, based in Bengaluru, India role. Apply directly on Capco's careers page below.

Dataiku Developer – Data Analytics & Reporting

Location: India - Bengaluru

Department: Business Consulting

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 Description: We are looking for a strong Datawarehousing resource with 7 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. • The candidate 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 maintain data 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 consistency by defining validation rules, unit tests and automated data quality checks inside Dataiku. • Collaborate with data architects and business analysts to 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 optimise pipeline performance, storage utilisation (Parquet/ORC) and cost on the cloud infrastructure (Kubernetes Engine, IBM Cloud). • Support production incidents and perform root cause analysis, applying fixes and preventive measures. • Mentor junior team members and 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 7-8 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

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: • A work culture focused on innovation and creating lasting value for our clients and employees • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients • A diverse, inclusive, meritocratic culture

We offer:

  • A work culture focused on innovation and creating lasting value for our clients and employees
  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
  • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients

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Frequently asked questions

What skills are required for Dataiku Developer, Data Analytics & Reporting at Capco?

The required skills for Dataiku Developer, Data Analytics & Reporting at Capco include: SQL, PostgreSQL, Python, Pandas, Spark, Tableau, GitLab, Kubernetes, Docker, JIRA, Confluence, Agile, Airflow, Kafka, Elasticsearch, Kibana.

What is the seniority level for Dataiku Developer, Data Analytics & Reporting at Capco?

Dataiku Developer, Data Analytics & Reporting at Capco is a Senior level position.

How do I apply for Dataiku Developer, Data Analytics & Reporting at Capco?

You can view the full description and apply for Dataiku Developer, Data Analytics & Reporting at Capco on EchoJobs: https://echojobs.io/job/capco-dataiku-developer-data-analytics-reporting-bl8lz.