Data Engineer

Location: Jakarta, Indonesia

In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

Thales has been established in Indonesia for close to 40 years. Today Thales Indonesia employs 25 people and has successfully provided numerous solutions to Indonesia in both civil and defense sectors. The Group’s main business in Indonesia has historically been the defense domain, where Thales is a long-term provider of defense systems for the Indonesian Army and Navy. In these areas Thales has demonstrated a strong commitment to working collaboratively with the Indonesian government and partners with local stakeholders. In recent years there has been an increased interest in the Thales civil solutions especially in the field of transportation and air traffic control. With the growing attention to infrastructure development by the Indonesian government, Thales will have opportunities in the transportation and security domain.

Job Description

•    Design the ETL Pipelines design for each squad
•    Develop & Implement ETL Pipelines 
•    Define Data Model & Implement DataWarehouse/ Lakehouses 
•    Design KPI processing / compute in Olap layer (BI Stack)
•    Define & Implement best of breed Data Analytics & BI Practices 
•    Conduct ETL Jobs code reviews
•    Design & Implement Pipelines Job Orchestration 
•    Design & Implement Cube processing Jobs 
•    Ensure each Squad is adopting CI/CD for Data Products Delivery 
•    Maintain the ETL in operational condition 
•     Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues 
•    Support the qualification of the projects, extraction, transformation and load of the data (Data Scoping / Discovery) 
•     Technical Framing: Feasibility study, expression of needs, estimation of the load and timeframe & Writing Technical Specifications § Ensure documentation of achievements

Requirements:

•    As a data expert you have a solid technical background and experience in data-intensive systems (> 5 years). 

•    Experience in a multinational Company with complex organizational ecosystem.  Working in the cloud with micro-services would certainly be a plus. You already have a significant experience as a Data Engineer

•    Experience working with large amount of data, Big Data processing – batch and streaming Kafka, Flink, dbt & Talend 

•    Familiar with Data platforms, including Google cloud platform, BigQuery, Tableau, and Looker

•    Completely Comfortable Working in a highly sensitive On-Prem data environment, where security constraints are part of the adventure 

•    You have deep knowledge and experience in databases, DataMarts, Data Modelling, Data Governance, Data Security, BI tools, ETL Solutions 

•    You know how to work with data engineers, data scientists, data analysts, architects, product owners, top management.
 

•    You have the right mindset: You are autonomous and know where and when to take decisions taking into account the constraints.



•    You are dynamic & curious, with an agile mindset and a strong team spirit that allow you to adapt to a changing environment.


•    
This is a global scope position, proficiency in speaking and writing in English is essential to ensure smooth communication and operational success.
•    You are familiar with CI/CD delivery 
•    You are familiar with incremental delivery practices

#RP

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