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BNP Paribas
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Data Engineer- Global Markets- Mumbai

Data Engineer- Global Markets- Mumbai

BNP Paribas

3 - 8 years

20 - 25 Lacs

Mumbai

Posted:2 weeks ago| Platform:

Apply

Skills Required

kubernetes data warehousing sql plsql ansible docker git postgresql devops linux jenkins hat api hadoop etl machine learning algorithms big data communication skills python oracle data analysis elk machine learning data engineering kafka

Work Mode

Work from Office

Job Type

Full Time

Job Description

ODIN is a Data Warehouse application and it is changing its overall architecture and migrating to new efficient data model, Also few of the technical upgrade are due in this year.

We are looking for the mid experience team member in the team, who can learn the BAU quickly and come up with fresh ideas in the team and contribute in designing and development of the statistical models.

The team is in charge of the maintenance and the development of new features on 3 reporting applications as well as a Data Warehouse. These applications are designed to provide KPI and reports for back-office and valuation and risk control teams.

Responsibilities

Direct Responsibilities

o Understand the need of Business/Operations teams, and propose indicators to meet the expectations.

o Work on Big data environment.

o Propose, when relevant, the architecture & flow of new applications that would help them integrate with existing ones and with the whole data architecture being developed

o Develop, when relevant, different components of this architecture/flow of the applications.

o Collect data from multiple various sources in ELK stack to calculate the new indicators. The indicators could be results from time series prediction, clustering, or other supervised or unsupervised machine learning algorithms

o Automation of recurring actions and implementation of tools to facilitate the support and evolution of applications

o Contribution to the evolution of the application architecture to improve the quality of service provided to users (Operations, Business)

Contributing Responsibilities

o Support and maintenance in operational condition of various applications focused on the collection and analysis of technical and functional data

The technical environment consists of OS such as Windows, Linux Red Hat / Ubuntu, various technologies (Kafka, PostgreSQL, Hadoop, ELK, Qlik, API) and a DevOps part using Docker, Ansible, Kubernetes, Git, Jenkins and all of the Atlassian tools.

Creation of processes to onboard new projects (Infrastructure and Business)

Study and advice on the technological choice for evolutions and new projects

Implementation and monitoring of action plans to avoid the recurrence of problems

Technical and functional data analysis (Data Intelligence, Machine Learning, )

Technical & Behavioral Competencies

Mandatory Technical expertise required:

Oracle (+++) / T-SQL & PLSQL (+++) (preferably) - including optimization of stored procedures, queries, partitioning, local and global indexes, etc.

Nice to have Technical skills:

DWH
Python
Reporting tools and ETL
ELK Stack
Kibana
ML Libraries
Git and all of the Atlassian tools.
Statistical/Machine Learning Modelling.

Behavioral Skills

Curiosity and analysis skills and willingness to learn.
Good Communication skills.
Quality-focused with a good eye for detail.
Capacity to work in a high-pressure environment.
Must be able to work closely with distributed team, users and business analysts.
Willing to share knowledge and skills with other developers within the team.
Whilst able to work independently, should be a true team player.
Creativity and Problem solving attitude.

Specific Qualifications (if required)

Skills Referential

Behavioural Skills : (Please select up to 4 skills)

Decision Making

Organizational skills

Critical thinking

Communication skills - oral & written

Transversal Skills:

Ability to understand, explain and support change

Ability to develop and adapt a process

Ability to develop others & improve their skills

Analytical Ability

Ability to inspire others & generate people's commitment

Education Level:

Bachelor Degree or equivalent

Experience Level

At least 3 years

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Data Engineer- Global Markets- Mumbai