Senior Data Engineer

Location: Bengaluru

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we're driven by a mission to build a future we can all trust.

Present in India since 1953, Thales is headquartered in Noida and has other operational offices and sites spread across Delhi, Gurugram, Bengaluru and Mumbai, among others. Over 2200 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India's growth story by sharing its technologies and expertise in Defence, Aerospace and Cyber & Digital sectors.

Thales has two engineering competence centres in India - one in Noida focused on Cyber & Digital business, while the one in Bengaluru focuses on hardware, software and systems engineering capabilities for both the civil and defence sectors, serving global needs. The Group has also established an MRO (Maintenance, Repair & Overhaul) facility in Gurugram to provide comprehensive avionics maintenance and repair services to Indian airlines and support the growth of the local aviation industry.

​] Responsibility
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

Skill & experience: 5 to 8 years of relevant Industry experience.
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 Dev Ops) 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
Experience using  dbt  for data transformation and modeling.
Familiarity with distributed query engines such as  Trino  (or equivalent).
Knowledge of  object storage systems  such as  MinIO  (or equivalent) and distributed SQL query engines such as  Trino .
Strong understanding of  modern data architectures , including the  medallion architecture
Nice to have:

Experience with scalable data pipelines on GCP ( Big Query ,  GCP ,  Dataproc )
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

Must have skills :
Skills on Development of / deployment on Talend Jobs
Advanced SQL, DAX, MDX and Query performance tuning Skills
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
Fluency in English, both written and verbal.

At Thales, we're committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you'll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining…