Why This Role Stands Out
This hybrid Azure Data Engineer role offers a fantastic opportunity to leverage your expertise in cloud data solutions and develop cutting-edge APIs at a reputable firm. You'll thrive here if you have a strong background in Azure services, SQL, and ETL/ELT processes, with a passion for enhancing data infrastructure. Embrace this chance to grow your career and make a significant impact.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Charlotte, NC, United States
Posted
23 hours ago
SQLETLAzureDatabricksGitJenkinsPower BIPython
Job Description
Contract W2 Only
Face to face interview must
NO C2C please, Only apply if you can work on our w2
Qualifications and Skills
- 10+ years of experience in software development using Python, PySpark and its frameworks.
- Proven experience as a Data Engineer/Data Quality Engineer with experience in Azure cloud.
- Experience implementing solutions using -
- Azure cloud services
- Azure Data Factory
- Azure Lake Gen 2
- Azure Databases
- Azure Databricks
- Data Quality Framework/Solution
- Collibra Data Quality or any Data Quality tools (IDQ/IBM/Ab-Initio)
- Collibra Data Governance and Data lineage knowledge.
- Power BI
- Well versed with Azure Databricks
- Strong SQL skills with RDMS or noSQL databases
- Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes
- Good understanding of ETL/ELT processes
- Experience in financial services industry, financial instruments, asset classes and market data are a plus.
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