Position Description:
This role can be situated within proximity to a CGI office. 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, we're looking for you.
Expertise in Azure Databricks and Synapse experience is mandatory for this role
Your Future Duties and Responsibilities:
Delivering on areas of data preparation, transformations, and ETL or ELT development on Azure - Azure Data Factory (ADF), Synapse, Azure Databricks, Azure Data Lake (ADLS), Azure SQL database, Azure SQL Datawarehouse
Building Streaming Data pipelines with Databricks
Working in a business environment with large-scale, complex, and big data datasets and dispersed data sources
Using SQL or Advanced SQL and Python skills as necessary
Gathering client requirements, coding, and building Data Engineering pipelines in Azure
Implementing proof of concepts to show value and then package and scale to full data engineering scale on both on-prem and cloud environments
Strategically collaborating with the clients to explore data sources and build Power BI dashboards with Azure Data Engineering
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 and Synapse experience is mandatory
Building streaming pipelines on Azure experience is mandatory
Total 5-7+ years’ experience in Data Engineering is required to apply to this role
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
Nice to Have Qualifications:
Experience in data engineering with ML projects
Experience with data pipeline and workflow management tools e.g., Airflow, Jenkins etc.
Experience working with Spark/ Hive/HDFS
Experience in building strong Power BI Dashboards with DAX queries, Power Apps, Power Automate, and Logic Apps
Skills:
Azure Data Lake
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