Senior Azure Data Specialist
Senior Azure Data Specialist
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Job Description
Position Description:
Are you an experienced Azure Data Engineering professional interested in working in a talented and collaborative team developing Cloud Data and AI solutions for leading global clients Do you regularly find yourself in conversations on disparate and dispersed data sources and feel the need to create a robust data engineering infrastructure to sort that mess out If you have that technical expertise of building pipelines and enabling data engineering or ETL in organizations a genuine flair for solving problems and the mindset to collaborate with diverse clients and team members alike were looking for you.
**Expertise in Azure Data Factory Azure Databricks and Spark/Pyspark is required for this role**
Your future duties and responsibilities:
1. As an Azure Data Engineer (Databricks) on this team your responsibilities will include:
2. Delivering on areas of data preparation and transformations and ETL or ELT development on Azure - Azure Data Factory (ADF) Azure Databricks Azure Data Lake (ADLS) Synapse Azure SQL database Azure SQL Datawarehouse
3. Building Batch and Streaming data pipelines with Databricks Working in a business environment with large-scale complex and big data datasets and dispersed data sources
4. Using SQL or Advanced SQL and Python skills as necessary
5. Gathering client requirements coding and building Data Engineering pipelines in Azure
6. Implementing proof of concepts to show value and then package and scale to full data engineering scale on both on-prem and cloud environments
7. Strategically collaborating with the clients to explore data sources and build Power BI dashboards with Azure Data Engineering
8. Supporting and collaborating with the other Data Engineers or Data Scientists in the team with technical knowledge
Required qualifications to be successful in this role:
Azure Databricks Azure Data Factory and Spark/Pyspark experience is mandatory
7 years experience in Data Engineering is required to apply to this role
Experience with building streaming pipelines on Azure
3 years or more in Azure Data Engineering
Data analysis storage data pipelines and orchestration
Expert Python and SQL skills
Experience working on Big Data
#LI-OA1
Skills:
- Data Engineering
- Data Modeling
- ETL
- Python
What you can expect from us:
Together as owners lets turn meaningful insights into action.
Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
At CGI we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer being able to perform your best during the recruitment process is important to us. If you require an accommodation please inform your recruiter.
To learn more about accessibility at CGI contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.
Come join our teamone of the largest IT and business consulting services firms in the world.
Required Experience:
Senior IC
Employment Type
Full-Time
