1 month ago
Jakarta, IndonesiaSenior
Responsibilities
- Assemble complex data sets that satisfy functional and non-functional business requirements.
- Develop reusable ETL use cases, Talend jobs, connectors, and interfaces, including deployment and commissioning.
- Build and optimize infrastructure for extracting, transforming, and loading data from multiple sources.
- Build and maintain data lakes, data warehouses, data marts, data cubes, and analytical tools.
- Develop scalable data pipelines and data products using modern data architectures, including medallion architecture.
- Maintain ETL processes in operational condition and support Delta, full, and historical loading mechanisms.
- Implement internal process improvements, infrastructure scalability improvements, data delivery optimization, and process automation.
- Apply SQL, DAX, MDX, and query performance tuning techniques.
- Implement automated CI/CD pipelines for deployment, integration, testing, code quality, and build and release orchestration.
- Manage row-level security across data-chain layers.
- Support project qualification, data scoping and discovery, feasibility studies, effort and timeframe estimation, and technical framing.
- Write technical specifications, document completed work, and enrich the solution components catalogue.
- Work with executive, product, data, and design stakeholders to support data infrastructure needs and resolve technical issues.
- Provide user support and contribute to customer-oriented, quality-focused delivery.
Requirements
- Bachelor's degree in computer science, statistics, mathematics, or a related field.
- Master's degree is advantageous.
- Significant experience with data engineering in cloud environments, especially Azure data services.
- Strong experience with Talend Studio and Talend Data Integration Platform.
- Expertise in SQL and the Microsoft SQL Server stack, including Database Engine, Integration Services, Analysis Services, and Power BI Reporting Services.
- Advanced skills in SQL, DAX, MDX, and query performance tuning.
- Experience with Azure Data Lake Storage Gen2, Azure Synapse, Azure Data Factory, Azure SQL Database, Azure Analysis Services, and Power BI Services.
- Experience with Azure DevOps CI/CD pipelines and code deployment automation.
- Experience building and interacting with data lake solutions, data warehouses, data marts, and data cubes.
- Experience with dbt for data transformation and modeling.
- Familiarity with distributed query engines such as Trino and object storage systems such as MinIO or equivalents.
- Knowledge of data modeling, data product design patterns, ETL feeding mechanisms, and modern data architectures.
- Nice-to-have experience with scalable data pipelines on GCP, including BigQuery and Dataproc.
- Familiarity with GitLab, Visual Studio, SQL Server Management Studio, DAX Studio, and Tabular Editor.
- Fluency in written and spoken English is advantageous.
- Strong communication, presentation, analytical, problem-solving, teamwork, attention to detail, and stakeholder collaboration skills.
Benefits
- Work location is Jakarta, Indonesia.
- Thales describes a workplace centered on respect, trust, collaboration, passion, and supportive professional development.
Tech Stack
Categories
Data Engineering
About Thales
Thales designs and sells defense, aerospace, space, and digital identity/cybersecurity systems to governments, armed forces, infrastructure operators, and enterprises. Its portfolio spans avionics, radars and sensors, satellites, air traffic management, secure communications, and cybersecurity and identity solutions (bolstered by the 2019 Gemalto acquisition). Headquartered in Meudon, France, Thales is publicly traded on Euronext Paris (HO) and reported €20.6 billion in sales in 2024.