Data Modeler/Informatica-ETL Engineer

Introduction:

This position is for a Data Modeler/Informatica-ETL Engineer who will be responsible for designing and implementing scalable data pipelines and storage solutions to support enterprise analytics. The role involves collaborating with stakeholders to define data requirements, translating them into technical specifications, and ensuring data quality, integrity, and security throughout the data lifecycle.

Responsibilities:

• Designing and implementing scalable data pipelines and storage solutions.
• Ensuring data quality, integrity, and security across all stages of the data lifecycle.
• Collaborating with stakeholders to define data requirements and translate them into technical specifications.
• Monitoring and optimizing performance of data systems and ETL processes.
• Supporting the deployment and maintenance of data infrastructure in cloud environments.
• Developing and maintaining complex SQL scripts and stored procedures for data transformation and reporting.
• Leveraging Informatica IDMC for cloud-native data integration, data quality, and governance workflows.
• Performing exploratory data analysis and generating actionable insights.
• Creating dashboards and visualizations using tools like Power BI, Tableau, or Excel.
• Collaborating with cross-functional teams to align data efforts with business goals.
• Automating data workflows using scripting languages such as Python or R.
• Supporting business intelligence initiatives and translating data into strategic recommendations.
• Documenting data processes and contributing to data governance standards.
• Applying AI and machine learning techniques to enhance predictive analytics and automate decision-making.
• Utilizing AI tools and platforms such as TensorFlow, Azure Machine Learning, scikit-learn, and PyTorch to build and deploy models.

Requirements:

Required Skills:

• Data Engineering
• ETL-Informatica
• SQL/Oracle PL-SQL
• Informatica PowerCenter
• Data Modeling
• Data Analysis
• Experience with Snowflake, Azure, or Kafka (Preferred)
• Experience in Healthcare Insurance