Azure Data Lead

1 week ago


Melbourne, Australia Capgemini Full time

**_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 _**:

- **

**_Key Responsibilities: _**
- **_Lead the design, development, and deployment of scalable _**_data pipelines _**_on _**_Azure Cloud _**_. _**:

- **_Architect and implement _**_data solutions _**_using Azure services such as _**_Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, and Azure SQL _**_. _**:

- **_Optimize _**_ETL/ELT pipelines _**_for efficient _**_data ingestion, transformation, and storage _**_. _**:

- **_Develop and maintain _**_data models _**_to support business reporting and analytics needs. _**:

- **_Collaborate with _**_data scientists, analysts, and business teams _**_to enable data-driven decision-making. _**:

- **_Implement _**_data governance, security, and compliance _**_best practices in alignment with industry standards. _**:

- **_Monitor and troubleshoot _**_data workflows _**_, ensuring high availability and performance. _**:

- **_Lead a team of _**_data engineers _**_, providing technical guidance, mentoring, and support. _**:

- **_Citizen with baseline clearance is a must. _**

**_Required Skills & Qualifications: _**:

- **_8+ years _**_of experience in _**_data engineering, architecture, and cloud solutions _**_. _**:

- **_Expertise in _**_Azure Data Platform _**_(Azure Data Factory, Databricks, Synapse Analytics, Data Lake, Azure SQL, etc.). _**:

- **_Strong _**_SQL, Python, and Spark _**_programming skills. _**:

- **_Experience with _**_Big Data processing frameworks _**_and _**_streaming technologies _**_(Kafka, Event Hub, etc.). _**:

- **_Hands-on experience with _**_ETL/ELT pipelines _**_, data modeling, and performance tuning. _**:

- **_Knowledge of _**_data governance, security, and compliance frameworks (GDPR, HIPAA, etc.) _**_. _**:

- **_Strong problem-solving skills and ability to work in _**_agile environments _**_. _**:

- **_Excellent communication and stakeholder management skills. _**

**_What you’ll love about working here: _**:

- **_We recognise the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. _**:

- **_At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. _**:

- **_Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure. _**

**_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._



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