Senior Data Engineer (Azure Databricks + PySpark + ADF + Unity Catalog)
Indexed description
This role will collaborate closely with architects, business stakeholders, and cross-functional engineering teams to build reliable, high-performance data platforms and accelerate data-driven decision-making.
Qualifications
Your Skills & Experience
- 4-7+ years of experience in Data Engineering or Big Data development.
- Strong hands-on experience with Azure Databricks.
- Proficiency in PySpark, Spark SQL, and distributed data processing.
- Experience implementing and managing Unity Catalog.
- Strong experience with Azure Data Factory (ADF).
- Experience working with Delta Lake and modern Lakehouse architectures.
- Solid understanding of data modeling, ETL/ELT, and data warehousing concepts.
- Experience with Azure cloud services and ecosystem.
- Proficiency with Git, version control, and CI/CD processes.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Experience with Azure Synapse Analytics.
- Familiarity with Collibra or other data governance platforms.
- Experience with Infrastructure as Code (Terraform, ARM Templates).
- Databricks Certification (Data Engineer Associate/Professional).
- Microsoft Azure Data Engineer Associate Certification.
- Experience supporting enterprise-scale data migration projects.
- Knowledge of healthcare, retail, or consumer products data environments.
- Exposure to real-time data processing and streaming technologies.
- An inclusive workplace that promotes diversity and collaboration.
- Access to ongoing learning and development opportunities.
- Competitive compensation and benefits package.
- Flexibility to support work-life balance.
- Comprehensive health benefits for you and your family.
- Generous paid leave and holidays.
- Wellness program and employee assistance.
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