Software Engineer - Data Engineer

Societe Generale Global Solution Centre; Bengaluru; Sur place; INR 1 200 000 - 1 800 000; Plein temps

Résumé du poste

Societe Generale Global Solution Centre in Bengaluru seeks an experienced Data Engineer to help plan and coordinate the Data Engineering Team, collaborate with suppliers, and optimize ETLs and data updates for the data warehouse and datamarts.

You will work with Azure services, SQL, and data modeling, ensuring governance and privacy compliance while building scalable data solutions and contributing to data quality across the organization.

Qualifications

• 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 scripting in PowerShell, Python and Bash.
• Good knowledge of Microsoft Fabric, PowerBI.
• Power Automate basics.
• 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.

Responsabilités

• Help to manage the planning 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.

Connaissances

Azure services

Azure DevOps

Azure Synapse

Python

PowerShell

SQL

Data modeling

Big Data

SQL Server

Data architectures

Security basics

Power BI

Databricks

Microsoft Fabric

Power Automate

Outils

Databricks

Microsoft Fabric

Power Automate

Power BI

Description du poste

Responsibilities

• 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.

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

COMPETENCIES/SKILLS:

• Analytical
• Proactive
• Team player
• Solution-oriented mindset
• Curious

WORK EXPERIENCE REQUIREMNTS:

• >=5 years of Data Engineering experience
• >=3 years of Azure experience

Why join us

“We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.

Business insight

At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

Still hesitating?

You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.

We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.