Description

Roles &

responsibilities The Azure Data Engineer in GTS - DES is an entry-level position for fresh graduates from Campus. Individual will join the GDC Technology Solutions (GTS) team, supporting the Clients on Audit Data & Analytics domain. This role is designed for individuals eager to learn and develop foundational skills in ETL, Building data pipelines, data engineering Services on Azure cloud platform. Individual will work under the guidance and support of seniors and managers within Data Engineering team, ERP teams and D&A; development, primarily support on Big Data Analytics, Data Ingestion and insights and Data extraction and transformation,

Key Responsibilities

Data Transformation & Integration

Assist in data extraction, transformation, and loading (ETL) using Azure Data Factory and Databricks under senior support

Support the development and maintenance of Python/PySpark notebooks for basic business logic.

Help integrate data from ERP systems (SAP, Oracle, Microsoft Dynamics) into Azure-based workflows

Support Audit teams on Financial D&A; and insights using multiple technologies

Workflow Development

Participate in designing and managing straightforward data pipelines using Azure Data Factory and Databricks.

Apply basic optimization techniques for data processing as directed.

Quality & Compliance

Ensure adherence to audit methodology and data governance standards

Maintain documentation for processes and workflows

Deliver high quality deliverables to US Audit teams

Responsibilities

Roles &

responsibilities The Azure Data Engineer in GTS - DES is an entry-level position for fresh graduates from Campus. Individual will join the GDC Technology Solutions (GTS) team, supporting the Clients on Audit Data & Analytics domain. This role is designed for individuals eager to learn and develop foundational skills in ETL, Building data pipelines,



data engineering Services on Azure cloud platform. Individual will work under the guidance and support of seniors and managers within Data Engineering team, ERP teams and D&A; development, primarily support on Big Data Analytics, Data Ingestion and insights and Data extraction and transformation,

Key Responsibilities

Data Transformation & Integration

Assist in data extraction, transformation, and loading (ETL) using Azure Data Factory and Databricks under senior support

Support the development and maintenance of Python/PySpark notebooks for basic business logic.

Help integrate data from ERP systems (SAP, Oracle, Microsoft Dynamics) into Azure-based workflows

Support Audit teams on Financial D&A; and insights using multiple technologies

Workflow Development

Participate in designing and managing simple data pipelines using Azure Data Factory and Databricks.

Apply basic optimization techniques for data processing as directed.

Quality & Compliance

Ensure adherence to audit methodology and data governance standards

Maintain documentation for processes and workflows

Deliver high quality deliverables to US Audit teams

Mandatory technical & functional skills

Basic understanding of

Azure Databricks, Azure Data Factory, PySpark, and Python.

SQL and notebook development; RDBMS; Visualization tool - PBI

Azure Data Lake Storage (ADLS) concepts

Basic knowledge of Gen AI

Enabling Skills

Strong analytical and problem-solving abilities.

Attention to detail and willingness to learn.

Effective communication and collaboration skills.

Ability to work in a dynamic environment and deliver within timelines.

Flexibility to work on different projects/technologies.

Eagerness to collaborate with business stakeholders to understand data requirements.

Qualifications

This role is for you if you have the below

Education Requirements

B. Tech/B.E/MCA (CSIT/EE/EEE/ME)

Work experience

0-2 years

📌 Analyst-GDC (Bengaluru)
🏢 BSR u0026
📍 Bengaluru