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Data Analyst-Data Modeler/Engineer-ETL-Source-to-Target Mapping

Georgia IT Inc
  • US
    United States
  • US
    United States

About

Position: Data Analyst-Data Modeler/Engineer-ETL-Source-to-Target Mapping Location: Minnetonka, MN (Hybrid- 3 Days in-office). ONLY LOCAL CANDIDATES ACCEPTED. Duration: 8-12 Months
Reqd. Skills:
Data Engineering ETL-Informatica SQL/Oracle PL-SQL Informatica PowerCenter Data Modeling Data Analysis Snowflake or Azure or Kafka - Preferred Healthcare Insurance
Key Accountabilities:
Designing and implementing scalable data pipelines and storage solutions to support enterprise analytics. 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.
In addition to engineering responsibilities, the Data Generalist component of this role includes:
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, automate decision-making, and uncover deeper insights from complex datasets. Utilizing preferred AI tools and platforms such as TensorFlow, Azure Machine Learning, scikit-learn, and PyTorch to build and deploy models that support enterprise analytics and innovation.
  • United States

Languages

  • English
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