Job Title: Sr Data Engineer

Employment Type: Full-time

NationsBenefits is recognized as one of the fastest-growing companies in America and a leading Healthcare Fintech provider. Through our comprehensive suite of supplemental benefits, fintech payment platforms, and member engagement solutions, we enable health plans to provide high-quality benefits that address social determinants of health, ultimately improving member health outcomes and satisfaction.

We offer a energetic and fulfilling work environment that attracts top talent, where associates are encouraged to contribute to delivering premier service to both internal and external customers. We provide opportunities for career advancement across multiple locations in the US, South America, and India.

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 organization's data-driven initiatives to ensure data accuracy and enable data-driven decision-making across the organization. The ideal candidate will possess a minimum of 6+ 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.

7+ years of hands-on experience using DBT. Airflow, Azure Databricks, Python, Py-spark and SQL , Preferred from

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: 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.
- 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 up to date with emerging trends and technologies in data engineering and analytics and make recommendations for their adoption.

Bachelor's 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 understanding of DWH/Data Lake concepts and methodologies.
- Experience with cloud platforms such as Azure, AWS or GCP
- Knowledge of data quality, data Validation, data security and compliance standards is a plus.

📌 Senior Data Analysis Engineer (Hyderabad)
🏢 NationsBenefits
📍 Hyderabad