
Senior Data Pipeline Architect
22 hours ago
As a Data Engineer Lead, you will be responsible for developing and implementing ETL pipelines using Databricks on cloud AWS.
The ideal candidate will have 5+ years of relevant experience and overall 8+ years of experience. They should be proficient in Python, PySpark, and SQL with hands-on experience developing data pipelines.
Key qualifications include:
- Proven experience in designing, implementing, and managing data analytics using Databricks.
- Strong proficiency in Python, PySpark, and SQL.
- Data Modeling/ Data Lineage awareness and Canonical data model implementation experience.
Additional requirements:
- Experience working in the Insurance domain.
- Knowledge of JIRA.
Preferred skills include:
- Power BI and GitLab experience.
Qualifications:
- 3+ years of experience in Databricks Implementation / Development.
- Good to have Power BI Architecture Experience / Exposure.
What We Offer
As a Data Engineer Lead, you will have the opportunity to work independently with minimal guidance and contribute to the development of innovative solutions.
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