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Salary
≈ $31k – $66k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Principal · 10+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026. Société Générale scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Société Générale is a French universal bank headquartered in Paris, with its main offices at La Défense, that provides retail banking in France, international retail banking and financial services, and corporate and investment banking. Founded in 1864, it is one of Europe's largest banking groups, operating in dozens of countries, listed on Euronext Paris and owning brands such as SG, Boursorama and Ayvens. Its postings cover retail branch advisers and SME relationship managers, recovery and risk staff, front office application support, IT analysts, quantitative analysts and many internships and VIE assignments.

Responsibilities

Mission :
Building modern data platforms that underpin bank’s ambitions for next phase of growth.

Main Responsibilities:
Build Reusable Enterprise Assets for Data Engineering CoE
Define platform standards and best practices for DBX usage
Integrate Databricks with Cloud Services (AWS/Azure) including storage, IAM, and event services.
Implement Unity Catalog, Data Lineage, Access Governance, and Auditing Standards.
Define and enforce data quality, observability, and FinOps monitoring.

Profile : 10–16 years of IT experience with 6-8 yrs exp in Data Engineering / Big Data Platform, and 2-4 yrs in large-scale data processing solutions on the Databricks Platform
Skills: DBX, PySpark, Spark SQL, Delta Lake, SQL Warehouse, AWS Cloud Platform, CI/CD, Data Governance
Preferred: DBX Certification, MLFlow

Functional background: Experience in Banking and Financial Services
Methodology: Agile

Behavioural Skills:
Ability to work in a cross-cultural team with multi geographical locations.
Ability to communicate (verbal and written) effectively with counterparts in SG Paris

Profile required

Main Responsibilities:
Build Reusable Enterprise Assets for Data Engineering CoE
Define platform standards and best practices for DBX usage
Integrate Databricks with Cloud Services (AWS/Azure) including storage, IAM, and event services.
Implement Unity Catalog, Data Lineage, Access Governance, and Auditing Standards.
Define and enforce data quality, observability, and FinOps monitoring.

Profile : 10–16 years of IT experience with 6-8 yrs exp in Data Engineering / Big Data Platform, and 2-4 yrs in large-scale data processing solutions on the Databricks Platform
Skills: DBX, PySpark, Spark SQL, Delta Lake, SQL Warehouse, AWS Cloud Platform, CI/CD, Data Governance
Preferred: DBX Certification, MLFlow

Functional background: Experience in Banking and Financial Services
Methodology: Agile

Behavioural Skills:
Ability to work in a cross-cultural team with multi geographical locations.
Ability to communicate (verbal and written) effectively with counterparts in SG Paris

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