Senior Data Engineer - Azure
About The Position
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. We are seeking a highly experienced Senior Data Engineering Lead with minimum 8+ years' experience in modern data engineering, data warehousing and data lake technologies on Azure cloud platform. The successful candidate will possess a strong technical background and proven leadership skills to manage stakeholders, design, and lead development efforts.
Requirements
- Stellar hands-on expertise in Python, PySpark, and SQL.
- Proficient in Microsoft Azure Cloud Services.
- Expertise in data warehouse best practices, development standards and methodologies. Minimum of 8 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on the Azure cloud.
- Minimum of 12 years of proven experience with SQL, schema design, and dimensional data modeling.
- Strong experience with platforms (mandatory) such as Databricks (preferable). Experience with Databricks is highly desirable but not mandatory.
- Experience with common ETL/ELT tools (ADF, Informatica, Talend) and implementing Medallion Architecture for data management.
- Proficiency with Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, etc.
- Strong analytical and problem-solving skills.
- Lead development teams, drive project timelines, and ensure high-quality deliverables.
Nice To Haves
- Experience with Databricks is highly desirable but not mandatory.
Responsibilities
- Data Warehousing: Expertise in data warehouse best practices, development standards and methodologies. Minimum of 8 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on the Azure cloud.
- Big Data Tools: Strong experience with platforms (mandatory) such as Databricks (preferable). Experience with Databricks is highly desirable but not mandatory.
- Must be able to implement Medallion Architecture for data management.
- Lead development teams, drive project timelines, and ensure high-quality deliverables.
Benefits
- Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
