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.

Responsibilities:

• Be a subject matter expert within the team and the organization regarding ETL / ELT development 
• Be a mentor to team colleagues facilitating peer reviews, co-defining best practices, and ensuring the application of guidelines
• Follow architecture, strategy, and ETL pattern, in collaboration with Group ETL Core Team 
• Assembling large, complex sets of data that meet non-functional and functional business requirements
• Support during project implementation : qualification, transformation and data integration
• Define Technical Prerequisites and template 
• Developing reusable ETL Jobs use cases
• Conception of connectors/jobs
• Development of Talend Jobs, deployment and commissioning of the interfaces
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes  
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using ETL and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition 
• Significate experience on data engineering Cloud environment 
• Highly skilled in Microsoft SQL Server Stack (Data Base Engine)
• Advanced SQL, Query performance tuning Skills
• Very good Knowledge on Design Pattern of Data Product
• Demonstrate ability to manage multiple interfaces & deal with IT resources in international context
• Familiar with fully automated CI/CD Pipelines (Azure DevOps) for code deployment, integration and test automation, code quality and orchestration for automated build and release.
• Ability to manage Row Level Security on each Layer of the data Chain
• Familiar with ETL Feeding mechanisms (Delta/Full Loading ,Historical data)
• Experience Building and Interacting with Data Lake/Lake House Solutions
• Good knowledge on agile methodology
• Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Build Data Warehouses, Data Marts 
• 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 
• Integrate Business Data
• 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 
• Enrich solution components catalogue
• User Support 
• Customer oriented
• Quality minded and proactive approach 

Requirements:

• Tools: Talend Studio, Talend Data Integration Platform, Gitlab, Azure DevOps, Visual Studio, SQL server Management Studio,
• Expertise: CI/CD notions, Data Modeling, Talend, SQL, Agile, Minio, Trino
• At Least 5 years of proven experience in a similar role
• Educational: In a bachelor’s degree in computer science/statistics/mathematics fields
• Fluency in English, both written and verbal.
• Excellent communication and presentation skills.
• Teamwork and willing to perform trough cooperation.
• Strong attention to details.
• Willingness for change and solving problem.
• Be passionate about digital transformation.
• Strong analytical mindset.
• Data oriented.

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