Senior Data Engineer

Job Title: Sr Data Engineer

Location: Hyderabad, India

Employment Type: Full-time

About NationsBenefits:

NationsBenefits is recognized as one of the fastest-growing companies in America and a leading Healthcare Fintech provider. We specialize in supplemental benefits, flex cards, and member engagement solutions.

Partnering with managed care organizations, we offer innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and deliver value to members.

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 dynamic and fulfilling work environment that attracts top talent, where associates are encouraged to contribute to delivering premier service to both internal and external customers. Our goal is to transform the healthcare industry for the better! We provide opportunities for career advancement across multiple locations in the US, South America, and India.

Position Overview:

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.

Key Responsibilities:

7+ 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:

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 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

Excellent problem-solving skills and attention to detail

Knowledge of data quality, data Validation, data security and compliance standards is a plus.