Azure Data Analytics Engineer

Key Skills

Analytical and Problem solving, Apache Hadoop, Azure, Big Data Technology, Data Analytics, Data Modeling, Data pipelines, Data science techniques, Data Visualization, Data Warehousing, Effective communication skills, ETL frameworks, Machine learning techniques, PowerBI, SPARK Programming, SQL, User support and Troubleshooting

Job Description

We are seeking a talented and motivated Azure Data Analytics Expert Engineer with 2-5 years of relevant experience to join our team. You will work on data engineering and analytics projects, supporting the design, development, and maintenance of data pipelines and analytics solutions on the Azure platform.

Key Responsibilities:

Design, develop, and maintain data pipelines and ETL processes on Azure.

Collaborate with data scientists and analysts to turn data into actionable insights.

Optimize data storage, performance, and scalability in Azure data platforms.

Ensure data security and compliance with data governance policies.

Monitor and troubleshoot data pipelines and analytics jobs.

Stay current with Azure data analytics services and recommend best practices.

Document technical solutions and assist in training junior team members.

Key Skills:

Proficiency in Azure data analytics services, including Azure Data Factory, Azure Databricks, and Azure Data Lake Storage.

Strong SQL and data modeling skills.

Experience with data warehousing solutions like Azure SQL Data Warehouse or Azure Synapse Analytics.

ETL (Extract, Transform, Load) process development and management.

Familiarity with data integration tools and data pipeline orchestration.

Data security and compliance knowledge, including Azure RBAC and data encryption.

Strong problem-solving and troubleshooting abilities.

Excellent communication and collaboration skills.

Optional Skills:

Knowledge of big data technologies like Apache Spark and Hadoop.

Familiarity with data visualization tools like Power BI.

Experience with machine learning and data science workflows on Azure.

Azure certifications related to data analytics and data engineering.

Skills:

• Azure Data Factory
• Azure SQL Data Warehouse
• Data Modeling
• SQL
• Apache Spark

What you can expect from us:

Insights you can act on

While technology is at the heart of our clients’ digital transformation, we understand that people are at the heart of business success.

When you join CGI, you become a trusted advisor, collaborating with colleagues and clients to bring forward actionable insights that deliver meaningful and sustainable outcomes. We call our employees “members” because they are CGI shareholders and owners, and, as owners, we enjoy working and growing together to build a company we are proud of. This has been our Dream since 1976, and it has brought us to where we are today—one of the world’s largest independent providers of IT and business consulting services.

At CGI, we recognize the richness that diversity brings. We strive to create a work culture where everyone belongs, and we collaborate with clients in building more inclusive communities. As an equal opportunity employer, we empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist.