Azure Data Tech Lead

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

**Job Description - Grade Specific**:
**Position: Developer / Software Engineer**

**Experience Required**:

- Microsoft Azure: 6-9 years
- Azure Data Factory: 6-9 years
- Azure Databricks: 6-9 years

**Responsibilities**:

- Ingest structured/unstructured data (batch or real-time) into the Azure lake and perform data cleaning and aggregation.
- Collaborate with business stakeholders to create data marts for reporting.
- Develop and maintain data pipelines to transform and load data from Databricks into Datawarehouse models.
- Create and maintain data marts, data catalogues, and data lineage.
- Implement data quality checks and scheduling for timely data delivery.

**Professional Experience**:

- Knowledge of data warehouse concepts (Star or Snowflake methodology) and experience in designing data warehouse dimensional models.
- Hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics/Datawarehouse, Spark programming in Scala or Python (for batch and real-time), and Python.
- At least three years of hands-on experience as a Data Engineer, including at least two years using Microsoft data tools.

**Personal Attributes**:

- Positive attitude and disposition.
- Ability to function independently or as a team player.
- Technical aptitude.
- Organized, systematic, and logical.
- Willingness to learn.

**Qualification**:

- Degree from a recognized university, preferably in Data Analytics or Computer Science.
- Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

**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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.