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Senior Data Engineer Azure - Calgary - Burgeon IT Services
Description
Job Title:
Senior Data Engineer Azure (ADF, Databricks, Spark)
Location:
Calgary, Canada
Work Mode:
Work From Home (WFH)
Experience Required: 10+ Years Total 8+ Years Relevant
Shift:
Standard Day Shift (No Shifts)
Background Check:
Required Before Onboarding
Delivery Anchor:
Anjaneyulu Jillellamudi
Job Description
We are seeking an experienced Senior Data Engineer to design and develop scalable ETL and data integration solutions using Azure Data Factory, Azure Databricks, and Apache Spark.
The role involves building robust data pipelines, transforming enterprise data, ensuring high data quality, and delivering insights through Power BI reporting.
The ideal candidate will collaborate closely with business stakeholders to understand data requirements, perform data profiling, and deliver reliable analytics solutions.
Design, develop, and maintain ETL pipelines using Azure Data Factory (ADF)
Build scalable data ingestion and transformation workflows based on business rules
Develop data processing solutions using Azure Databricks and Apache Spark
Collaborate with business teams to gather and finalize data requirements
Perform data profiling, cleansing, validation, and quality checks
Optimize data pipelines for performance, reliability, and scalability
Create and maintain Power BI reports and dashboards for business insights
Troubleshoot data issues and ensure data accuracy across pipelines
Document solutions, workflows, and best practices
Mandatory Skills
Azure Databricks
Azure Data Factory (ADF)
Apache Spark
Strong experience in ETL / Data Engineering
Desired / Secondary Skills
SQL
Experience with data warehousing and analytics platforms
Knowledge of cloud-based data architecture
Nice to Have
Experience with large-scale enterprise data platforms
Exposure to Power BI performance tuning and advanced modeling
Strong problem-solving and stakeholder communication skills
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