Data Engineer

About BNP Paribas India Solutions:

Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions.

About BNP Paribas Group:

BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialized businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporate and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability

Commitment to Diversity and Inclusion

At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in.

About Business line/Function :  

IT DIGITAL MARKETPLACE role is to manage the display, ordering and consumption of all kinds of IT products and services to all BNP Paribas collaborators for all entities in a single application. Assists with the transformation of traditional IT asset management towards creating customer-oriented products and services that can be delivered automatically, monitored, billables. contributes to the continuous improvement of those digital offers by empowering producers with management tools, usage data an

Job Title:

 Data engineer

Date:

 27/06/2025

Department:

Digital Market Place

Location:

Bangalore

Business Line / Function:

ITG 

Reports to:

(Direct)

NA

Grade: 

(if applicable)

-

(Functional)

Number of Direct Reports:

-

Directorship / Registration:

NA

Position Purpose - Mission

The data engineer is responsible for Designing, Architecting and implementing robust, scalable and maintainable data pipelines. candidate will work directly with upstream stockholders (applications owners, data providers) and downstream stakeholders (Data consumers, Data analysts, Data Scientists) to define the data pipeline requirements, implement solutions that serve downstream stakeholders needs through APIs, materialized views.

 On day to day, Candidate works in conjunction with the Data Analyst, for the aggregation and preparation of data.  interacts with security, continuity and IT architecture to validate the IT assets  designs and develops. Furthermore,  works with BNP Paribas international team

Responsibilities

Direct Responsibilities

·       Work on the stages from data ingestion to analytics, encompass integration, transformation, warehousing and maintenance 

·       The Data Engineer designs architecture, orchestrate, deploys and monitors reliable data processing systems. 

·       Implement Batch and streaming data pipelines to ingest data into the data warehouse

·       Perform undercurrent activities (Data architecture, Data management, DataOps, Security)

·       Perform data transformation and modeling, to convert data from OLTP to OLAP to speed up data querying, and best align with business needs 

·       Serve downstream stakeholders across the organization, whose improved access to standardized data will make them more effective at delivering use cases, building dashboards and guiding decisions

Technical Competencies

·       Master Data engineering fundamentals concepts (Data warehouse, Data Lake, Data Lakehouse)

·       Master Golang, Bash, SQL, Python

·       Master of HTTP and REST API Best practices 

·       Master batch and streaming datapipeline using Kafka 

·       Master code versioning with Git and best practices for continuous integration & delivery (CI/CD)

·       Master writing clean and tested code following software engineering best practices (Readable, Modular, Reusable, Extensible) 

·       Master data modeling (3NF, Kimball, Vault)

·       Knowledge ofdata orchestration using Airflow or Dagster 

·       Knowledge to self-host and manage tools like Metabase, DBT,…

·       Knowledge of cloud principals and infrastructure management (IAM, Logging, Terraform, Ansible)

·       Knowledge of data abstraction layers (Object Storage, Relational, NoSQL, Document, Trino, and Graph databases)

·       Knowledge with Containerization and workload orchestration with (Docker, Kubernetes, Artifactory)

·       Background in working in an agile environment (knowledge of the methods and their limits)

Skills Referential

Behavioural Skills: (Please select up to 4 skills)

Communication skills - oral & written

Attention to detail / rigor

Adaptability

Ability to synthetize / simplify

Transversal Skills: (Please select up to 5 skills)

Ability to develop and adapt a process 

Ability to understand, explain and support change

Analytical Ability

Ability to set up relevant performance indicators

Ability to anticipate business / strategic evolution

Education Level: 

 Bachelor Degree or equivalent

Experience Level

At least 5 years