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Its Propeller Bigdata Junior Engineer

4 months ago


Singapore Credit Agricole Full time

Cr\xc3\xa9dit Agricole CIB is the corporate and investment banking arm of Cr\xc3\xa9dit Agricole Group, the 10th largest banking group worldwide in terms of balance sheet size (The Banker, July 2022).
8,600 employees in more than 30 countries across Europe, the Americas, Asia-Pacific, the Middle-East and North Africa, support the Bank\'s clients, meeting their financial needs throughout the world.
Cr\xc3\xa9dit Agricole CIB offers its large corporate and institutional clients a range of products and services in capital market activities, investment banking, structured finance, commercial banking and international trade.
The Bank is a pioneer in the area of climate finance, and is currently a market leader in this segment with a complete offer for all its clients.

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Reference

Publication date 26/12/2023

Job description

Business type

Types of Jobs - IT, Digital et Data

Job title

ITS Propeller - BigData Junior Engineer

Contract type

Fixed-Term Contract

Term (in months)

12

Job summary

Big Data team in Singapore is responsible for day-to-day operational services on the infrastructure of Europe (mainly France and UK) and Asia remotely from Singapore. France infrastructure represents approximately 80% of the worldwide production activities of Cr\xc3\xa9dit Agricole CIB in Singapore.

The team works in Asia and Europe time zones; however, this role is aligned to follow the Asia working hours (10am to 7pm SGT).

The operational support of the team covers the following technical scope: Managing the Big data technology stack like Hadoop, Kafka, NoSQL database HBASE Setting up logging solution using Elasticsearch stack for production-based applications. Infrastructure support required for maintaining the technology stack. Performing day-to-day operations to ensure Big Data clusters are always up and highly available. Propeller Trainee Programme
What you can expect when you join our programme: A 1 Year Program to accelerate you into a full fledge junior contributor A clear progression path with a structured feedback loop You will be provided with 12 weeks of training. 2 weeks of Fundamental and 10 weeks of specialized on the job training. Access to learn from some of the best in tech, by Joining our IT communities Attending our Business & Tech Talks Graduation Ceremony + Promotion in title. The Big Data Junior Engineer role provides candidate an exposure on how data pipelines are modelled on Hadoop platform from infrastructure perspective; with a focus on ingesting, storing, processing, and analyzing large datasets.

This role is aligned under Big Data operation team in Singapore. This team manages the run operation of Big Data technology stack on the production system.

Main Responsibilities

Primarily, the candidate will be responsible to work on the following projects -

Vulnerability Scanning and Reporting:

Responsibilities: Providing basic level 1 support to developer on queries related to in Administering and monitoring of Hadoop cluster; Defining the data pipeline for Elasticsearch stack to view data in UI; Granting users on Hadoop platform, Kafka and Elasticsearch; Coordinating with different infrastructure team like System or Network for fixing the issues. In this role, person can additionally gain exposure on the lifecycle of data in the production system for various business use case. Expected Deliverable: Data discovery on Kafka infrastructure; File management on Hadoop layer; Configuring data pipeline on Elasticsearch stack; Extracting data from NoSQL database based on queries provided by developers. Application Procedure:

Interested applicants will need to apply via below link:

Position location

Geographical area

Asia, Singapore

City

Singapour

Candidate criteria

Minimal education level

Bachelor Degree / BSc Degree or equivalent

Academic qualification / Speciality

Bachelor\'s Engineering graduate, or equivalent technical degree in Information Technology or Computer Science.

Level of minimal experience

0-2 years

Experience
Interest in learning how various data are managed in an enterprise environment to deliver the expected business value; Interest in gaining practical exposure to large data sets, Hadoop infrastructure, ETL , procedures and controls, IT Service Management Processes; Should be excellent in analytical, communication and documentation skills; Ability to organize and prioritize work as per the operation\'s needs; Should have time management skills and able to manage work in fast moving environment; Cr\xc3\xa9dit Agricole