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Software Engineer - Data Engineer

Societe Generale

Societe Generale

Software Engineering, Data Science
Bengaluru, Karnataka, India
Posted on Jan 13, 2026

Responsibilities

DUTIES:

· Help to manage the plannning and the coordination of the Data Engineering Team

· Support the coordination of the activities with Suppliers

· Support troubleshooting and performance tuning

· Actively participate to meetings and produce minutes, send reminders to activity owners

· Understand and contribute to define solutions to satisfy the requirements, requests, and needs of Data Management & Analytics Team

· Support the design of data solutions, defining effort, costs, governance and compliance with Data Management Policy and Privacy regulation

· Support to define, develop, test and release ETLs, Data Integration, jobs and procedures of data updates of the local DWH and Datamarts

· Document all new developments or changes, making the documentation available in the defined repository

· Interfacing and collaborating with various stakeholders and suppliers

· Ensure development cycle complies with project phases, and all stakeholders are updated

· Collaborate with other Depts to ensure information accessibility and data quality

· Contribute to the analysis of business processes that generate data acquisition, identifying any critical issues and areas for improvement

· Promptly report any actual or potential data risks, such as breaches, quality impacts, loss of relevant info, data viz displaying misleading info etc.

KEY SKILL AREAS & KNOWLEDGE REQUIRED:

· Strong knowledge of Microsoft Office suite

· Deep Azure services knowledge including compute, networking, storage and databases

· Good ability to manage Azure DevOps and CI/CD

· Proficiency in Azure Synapse and Databriks

· Strong knowledge of advanced scripting in Powershell, Python and Bash

· Good knowledge of Microsoft Fabric, in particular PowerBI

· Basics of Microsoft PowerAutomate

· Proficiency in SQL in its various versions

· Strong knowledge of databases

· Good knowledge of SQL Server

· Understanding and ability to manage ETLs

· Good knowledge of Data modeling and Architectures

· Good understanding of Big Data context and technologies

· Basic Security skills