Data Engineer
Full-time
TALENDICA
Data Engineer
Location: NYC- 3 days on site downtown NYC (final onsite interview)
Duration: It might get extended past 6 months
Key Responsibilities:
- Design, develop, and maintain data marts tailored to the specific needs of the insurance business.
- Develop scalable ETL/ELT pipelines using Fabric Data Factory (Pipelines and Dataflows Gen2) and PySpark Notebooks. Optimize Fabric Spark runtimes for large-scale data processing.
- Strong focus on data integrity, performance tuning, idempotency, cost analysis, testing, and risk mitigation.
- Develop and optimize complex T-SQL queries, stored procedures, and views for high-performance data access.
- Collaborate with the Data Analytics team to deliver actionable insights to the business utilizing Power BI’s semantic layer, including custom KPIs using DAX.
- Ensure data quality, consistency, and governance across all data layers.
- Document data models, business logic, and technical specifications to ensure reliability and transparency.
- Stay current with Azure technologies and insurance data trends to drive continuous improvement.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline.
- 5+ years of experience in data engineering, analytics, or BI roles.
- Strong hands-on experience with Microsoft T-SQL, Azure Synapse Analytics, Power BI Semantic Layer (or SSAS) and Azure Data Factory.
- Proficiency in Python/PySpark. Experience with DAX is a strong plus.
- Experience with Git, branch management, and CI/CD pipelines in a data environment.
- Deep understanding of P&C insurance industry data (e.g., policy administration, claims processing, underwriting, actuarial models, ceded reinsurance).
- Working knowledge of insurance enterprise data models such as ACORD, IBM, etc.
- Experience with data warehousing, dimensional modeling, and data architecture.
- Proven ability to optimize performance in large-scale data environments.
- Excellent communication and collaboration skills with both technical and business stakeholders.
Ability to manage concurrent deliverables in a fast-paced environment
Vacancy posted 2 days ago
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