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Matt Wallaert
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AZURE DATA ENGINEER | 4 to 12 YEARS | PAN INDIA

Capgemini

Capgemini

Data Science
India
Posted on May 5, 2025

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Your Role

As a senior software engineer with Capgemini, you should have 4 + years of experience in Azure Data Engineer with strong project track record

In this role you will play a key role in:

  • Strong customer orientation, decision making, problem solving, communication and presentation skills
  • Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions
  • Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies
  • Strong executive presence and spirit
  • Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority

Your Profile

Experience with Azure Data Bricks, Data Factory
Experience with Azure Data components such as Azure SQL Database, Azure SQL Warehouse, SYNAPSE Analytics
Experience in Python/Pyspark/Scala/Hive Programming.
Experience with Azure Databricks/ADB
Experience with building CI/CD pipelines in Data environments

Primary Skills
ADF (Azure Data Factory) OR
ADB (Azure Data Bricks)

Secondary Skills
Excellent verbal and written communication and
interpersonal skills

Skills (competencies)

Ab Initio
Agile (Software Development Framework)
Apache Hadoop
AWS Airflow
AWS Athena
AWS Code Pipeline
AWS EFS
AWS EMR
AWS Redshift
AWS S3
Azure ADLS Gen2
Azure Data Factory
Azure Data Lake Storage
Azure Databricks
Azure Event Hub
Azure Stream Analytics
Azure Sunapse
Bitbucket
Change Management
Client Centricity
Collaboration
Continuous Integration and Continuous Delivery (CI/CD)
Data Architecture Patterns
Data Format Analysis
Data Governance
Data Modeling
Data Validation
Data Vault Modeling
Database Schema Design
Decision-Making
DevOps
Dimensional Modeling
GCP Big Table
GCP BigQuery
GCP Cloud Storage
GCP DataFlow
GCP DataProc
Git
Google Big Tabel
Google Data Proc
Greenplum
HQL
IBM Data Stage
IBM DB2
Industry Standard Data Modeling (FSLDM)
Industry Standard Data Modeling (IBM FSDM))
Influencing
Informatica IICS
Inmon methodology
JavaScript
Jenkins
Kimball
Linux - Redhat
Negotiation
Netezza
NewSQL
Oracle Exadata
Performance Tuning
Perl
Platform Update Management
Project Management
PySpark
Python
R
RDD Optimization
SantOs
SaS
Scala Spark
Shell Script
Snowflake
SPARK
SPARK Code Optimization
SQL
Stakeholder Management
Sun Solaris
Synapse
Talend
Teradata
Time Management
Ubuntu
Vendor Management

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.