Robert Walters Senior Data Engineer

Senior Data Engineer

Robert Walters

Negotiable

远程办公3 - 5 年經驗專科全職

遠程工作詳情

工作開放國家：菲律賓

語言要求：英語

這項遠距工作向特定國家的候選人開放。請確認您是否要繼續，儘管可能有位置限制

職位描述

簡介

Are you Robert Walters?

Robert Walters is the world’s most trusted talent solutions business. Across the globe, we deliver recruitment, recruitment process outsourcing and advisory services for businesses of all shapes and sizes, opening doors for people with diverse skills, ambitions, and backgrounds.

We help organisations find the skills and solutions to reach their goals and assist talented professionals to power their unique potential.

We offer our people incredible career opportunities as well as an inclusive culture and flexible working.

Function

Reporting to the Data Engineering Manager as part of the global Technology & Transformation Department, the holder of this position will be responsible for providing expertise across a broad range of data systems operating in the Robert Walters Group IT infrastructure.

Responsibilities

Design, build, implement and maintain Data Migration processes;
Design, build, implement and maintain Data Integration and ETL/ELT pipelines;
Design, build, implement and maintain databases (Snowflake, Dynamics, PostgreSQL, MySQL/MariaDB, Oracle, Sybase);
Design, build and maintain solutions incorporating the company’s Data Lake;
Provide Business Level through to Technical Level analytical expertise for data-related aspects of IT projects;
Design, build, implement and support programs and applications for database management, data management and user interaction with various data sources; Design and document the architectural components needed to transform raw transactional data in to a consistent and coherent dataset suitable for BI use.
Ensure guidelines exist for integration, cleansing and data modelling including data warehouse structures (aggregation, federation, virtualisation);
Understand the data components needed to meet business requirements including currency, quality, granularity, velocity and structure.

Qualifications

Required:

Extensive experience designing, building and maintaining Data Migration and Integration solutions using a recognized Business Integration tool, including the use of a programming language within a tool.
Experience designing, building and maintaining databases, including procedural programming and SQL scripting on a major RDBMS.
Experience working with one of the major cloud platforms (Amazon AWS / Microsoft Azure / Google Cloud);

Nice To Have

Experience in AWS data pipeline services.
Experience in Data Modelling (Kimball, Star Schema, Data Vault, etc)
Experience working within the Scrum agile framework.
Experience working in Snowflake Data Cloud.
Experience designing and building Data Lakes.
Experience of working with NoSQL databases, e.g. MongoDB.

Benefits

A unique opportunity to drive projects such as Employer Branding, Talent pipelining, Recruitment Innovation, Candidate Experience
A track record of high performance and an ability to deliver excellent results consistently is key. In return for your hard work, you’ll be offered a competitive top salary and benefits package with bonuses/commission and fantastic incentives programme
Private medical insurance
A fantastic training and development programme
Volunteer time off
The opportunity to partake / qualify for our Global incentive weekend
Employee wellbeing through various programmes
You’ll have plenty of opportunities to progress your career, both in your country and other locations around the world. That’s the benefit of working for a large global organisation. One that is at the forefront of recruitment innovation, and a specialist in RPO and MSP

“As a Disability Confident Employer, Robert Walters – Recruitment is committed to offering a fully inclusive and accessible recruitment process to all candidates. If you require any accommodations or adjustments as a result of a disability, impairment or health condition, please do not hesitate to let me know.”

Robert Walters - Global Talent Solutions

Apply now.