Senior Data Engineer - Databricks

Inizio Partners Corp; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Inizio Partners Corp in New York is seeking a Senior Data Engineer specializing in Databricks. The role focuses on developing and optimizing data pipelines to support critical decision-making in the insurance industry.

The ideal candidate should have 7-12 years of experience, a Bachelor's degree in Computer Science, and strong expertise in PySpark, Python, and SQL. Excellent communication skills and problem-solving abilities are essential.

Qualifications

• 7-12 years of experience in a Data Engineering role with Databricks and Cloud technologies.
• Strong proficiency in PySpark, Python, and SQL.
• Hands-on experience with performance tuning of data pipelines and workflows.

Responsibilities

• Collaborate with analysts to gather requirements and define data models.
• Develop and maintain efficient data pipelines for seamless data flow.
• Implement data checks to ensure accuracy and integrity.
• Monitor data jobs and resolve issues to minimize downtime.

Skills

PySpark

Python

SQL

Data modeling

ETL/ELT pipeline development

Agile methodologies

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Cloud technologies

Delta Lake

Unity Catalog

Job description

About the job Senior Data Engineer - Databricks

We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations.

Key Responsibilities

• Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models that effectively support business requirements
• Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems and address any issues or bottlenecks in existing pipelines.
• Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards.
• Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes.
• Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements
• Familiar with working on Agile methodologies - scrum, sprint planning, backlog refinement etc.

Candidate Profile

• 7-12 years experience on Data Engineering role working with Databricks & Cloud technologies.
• Bachelors degree in computer science, Information Technology, or related field.
• Strong proficiency in PySpark, Python, SQL.
• Strong experience in data modeling, ETL/ELT pipeline development, and automation
• Experience with data modeling, ETL processes, Delta Lake and data warehousing.
• Experience on Delta Live Tables, Autoloader & Unity Catalog.
• Preferred - Knowledge of the insurance industry and its data requirements.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent problem-solving skills and ability to work under tight deadlines.
• Hands-on experience with performance tuning of data pipelines and workflows
• Excellent communication and problem-solving skills to work effectively with diverse teams