Data Engineer
Data Engineer
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Job Description
About NationsBenefits:
At NationsBenefits we are leading the transformation of the insurance industry by developing innovative benefits management solutions. We focus on modernizing complex back-office systems to create scalable secure and high-performing platforms that streamline operations for our clients. As part of our strategic growth we are focused on platform modernization transitioning legacy systems to modern cloud-native architectures that support the scalability reliability and high performance of core back- office functions in the insurance domain.
As a Data Engineer you will be responsible for the Requirement Gathering Data Analysis Development and implementation of Orchestrated data pipeline solutions to support our organizations data-driven initiatives to ensure data accuracy and enable data-driven decision-making across the organization. The ideal candidate will possess a minimum of 3-5 years of hands-on experience in data engineer on high-performing teams. Expertise in DBT Airflow Azure Databricks SQL Python Py-spark Automation is a must and knowledge of reporting tools is addon.
Key Responsibilities:
- 3 to 5 years of hands-on experience using DBT. Airflow Azure Databricks Python Py-spark and SQL Preferred from Healthcare & Fintech Domain having Automation First Mindset.
- Hands-on experience with Data Collection Data Analysis Data modeling Data Processing using DBT Airflow Azure Databricks Py-spark SQL Python.
- Performance Optimization and Automation: Continuously monitor and optimize existing solutions and Debugging DAG failures and resolving.
- Data Processing: Leverage his expertise building Robust Data pipelines using mentioned tech stack with CI/CD.
- Collaboration: Collaborate with cross-functional teams including data scientists business analysts and stakeholders to understand their data needs and deliver solutions.
- Data Quality: Implement data validation and cleansing processes to ensure data accuracy consistency and reliability.
- Influence: bring right solution for use cases and convince the team to use.
- Open to Ad hoc Data Analysis and Reporting/Dashboard Development: Perform exploration data analysis develop data visualizations and generate actionable insights to support business decision-making.
- Stay Current: Stay up to date with emerging trends and technologies in data engineering and analytics and make recommendations for their adoption.
Requirements:
- Bachelors degree in computer science Information Technology or a related field.
- Minimum 3 years of hands-on experience using DBT. Airflow Azure Databricks Py-spark SQL Python Automation
- Flexible to build Data Reports and Dashboards using SQL Python Reporting Tools
- Strong Debugging and Automation skills
- Strong understanding of DWH/Data Lake concepts and methodologies.
- Experience with cloud platforms such as Azure AWS or GCP
- Excellent communication Presentation and interpersonal skills
- Knowledge of data quality data Validation data security and compliance standards is a plus.
- Excellent problem-solving skills and attention to detail
Employment Type
Full-Time
