Data Engineer (Microsoft & Talend)

2 Months ago • 5 Years + • Data Analysis

Job Summary

Job Description

As a Data Engineer at Thales, you will be responsible for assembling large, complex datasets to meet business requirements, developing reusable ETL jobs, and designing connectors/jobs. You'll build and maintain data pipelines, create analytical tools, and optimize data delivery. This role involves working with stakeholders to support their data infrastructure needs, integrating business data, and ensuring proper documentation and user support. The job requires a proactive and customer-oriented approach, ensuring quality and contributing to digital transformation. You'll work with Data Warehouses, Data Marts and Data Cubes and maintain the ETL in operational condition. This position also involves technical framing such as feasibility studies, requirements gathering, and time estimation, along with technical specifications.
Must have:
  • 5+ years of experience in a similar role
  • Fluency in English, both written and verbal
  • Expertise in Data Modeling and SQL
  • Experience with ETL tools like Talend
  • Bachelor's degree in computer science/statistics/mathematics

Job Details

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:

  • Assembling large, complex sets of data that meet non-functional and functional business requirements
  • 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 (azure), especially on data services (incl. ADLS Gen 2, Synapse, ADF, Azure SQL DB, Analysis Services, Power Bi Services
  • Highly skilled in Microsoft SQL Server Stack (Data Base Engine, Integration Services, Analysis Services, Power BI Reporting Services
  • Advanced SQL, DAX, MDX and 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 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 and Data Cubes
  • 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, Dax Studio, Tabular editor
  • Expertise: CI/CD notions, Data Modeling, Talend, SQL,Agile,SSAS
  • In a bachelor’s degree in computer science/statistics/mathematics fields
  • At Least 5 years of proven experience in a similar role
  • Fluency in English, both written and verbal.
  • Excellent communication and presentation skills.
  • Team work 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.

#LI-JL1

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

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