Infrastructure Specialist- Big Data & Analytics Engineer

Infrastructure Specialist- Big Data & Analytics Engineer

Dallas, TX

12 Months

Job Summary

We are seeking an experienced Big Data & Analytics Engineer to support enterprise data engineering, analytics, and business intelligence initiatives. This resource will be responsible for working with large and complex datasets, developing data-driven solutions, building interactive dashboards, and performing statistical analysis to support business decision-making.

The ideal candidate will have a combination of technical data engineering skills, data science knowledge, and experience translating complex data into actionable insights through reporting and visualization tools.

Key Responsibilities

• Design, develop, and maintain data engineering solutions to process, transform, and manage large datasets.
• Build and maintain interactive dashboards, reports, and data visualizations to support business and operational reporting.
• Perform statistical analysis and exploratory data analysis to identify trends, patterns, and business insights.
• Apply data science techniques to analyze complex datasets and support predictive and analytical initiatives.
• Develop and optimize data pipelines and workflows to support data collection, integration, and transformation.
• Collaborate with business stakeholders, data engineers, and analytics teams to understand reporting and analytical requirements.
• Ensure data accuracy, quality, consistency, and integrity across reporting and analytics solutions.
• Translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders.
• Identify opportunities to improve data processes, reporting capabilities, and analytical efficiency.
• Document data models, analytical methodologies, dashboards, and reporting processes.

Required Skills & Qualifications

• Experience in big data engineering and working with large-scale datasets.
• Hands-on experience building dashboards, reports, and data visualizations.
• Background in data science and statistical analysis.
• Strong analytical and problem-solving skills.
• Experience with data manipulation, transformation, and analysis.
• Ability to interpret complex data and communicate meaningful findings.
• Understanding of data engineering principles, data modeling, and data integration.
• Strong communication and collaboration skills.

Preferred Qualifications

• Experience with Python, SQL, or R.
• Familiarity with big data technologies such as Apache Spark, Hadoop, or Databricks.
• Experience with dashboard and visualization platforms such as Power BI, Tableau, or Qlik.
• Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud.
• Familiarity with machine learning, predictive analytics, and advanced statistical modeling.
• Experience developing automated reporting and analytics solutions.