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# Developer and Analytics Engineer

- **Company:** Rough Country, LLC
- **Location:** Dyersburg, TN, United States
- **Salary:** $95,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Adaptable Database Systems, Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Bash Shell, Big Data, Cloud Computing, Cloud Database, Databases, Continuous Delivery, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Database Design, Database Schema, Decision Support Systems, Dimensional Modeling, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Iterative and Incremental Development, Python (Programming Language), Unix Shell, Machine Learning, Microsoft SQL Server, Oracle (Applications), Cloud Services, Azure Data Lake, Shell Script, Software Engineering, SQL Databases, Data Streaming, Talend, Scripting, Enterprise Software Applications, Apache Spark, Build Management, Pyspark, Optimization Algorithms, Vba Programming Language, Data Management, Restful APIs, Looker Analytics, Data Pipelines
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9b2aa2f3a6ff4773

## About the Role

* Proven experience in software development with strong proficiency in Java and Python for building scalable applications and data processing workflows.
 * Extensive hands-on experience working with SQL databases including Microsoft SQL Server, Oracle, and cloud-based SQL solutions; solid understanding of SQL query optimization techniques.
 * Demonstrated expertise in big data systems such as Hadoop ecosystem components (HDFS, Hive), Spark (PySpark), and related technologies for large-scale data processing.
 * Practical knowledge of cloud platforms like AWS or Azure Data Lake for deploying secure and scalable data solutions in a public cloud environment.
 * Strong background in data modeling-dimensional modeling for warehousing-and designing efficient ETL pipelines using tools like Informatica or Talend.
 * Familiarity with business intelligence tools such as Looker for creating dashboards that translate complex datasets into clear visual insights.
 * Experience with analysis skills including model training, query management, database design, and analytics-driven decision support.
 * Ability to work effectively within Agile teams using methodologies that promote iterative development and continuous delivery of value.

Join us if you're eager to harness the power of big data systems combined with innovative analytics techniques! Your expertise will help shape our future strategies while advancing your career in a vibrant environment dedicated to technological excellence.

## Description

* Develop, optimize, and maintain ETL (Extract, Transform, Load) pipelines to ensure efficient data flow from various sources such as Hadoop, Spark, Azure Data Lake, and cloud databases.
 * Design and implement scalable data models using dimensional modeling principles for data warehousing solutions that support business intelligence tools like Looker.
 * Manage and enhance large-scale big data systems utilizing technologies such as Hadoop, Apache Hive, Spark, and related frameworks to process vast datasets effectively.
 * Collaborate with cross-functional teams to integrate linked data sources and ensure consistency across multiple platforms including Oracle, SQL Server, and cloud-based SQL databases.
 * Build and deploy analytics models by training machine learning algorithms and performing detailed analysis to uncover trends and insights.
 * Develop RESTful APIs for seamless data access and integration with external applications or services.
 * Use scripting languages like Python, Bash (Unix shell), Shell Scripting, VBA, or Talend for automation of workflows and data management tasks within an Agile development environment.
 * Support the design of data warehouses with best practices in data warehousing design, query management, and database schema development for optimal performance.
 * Contribute to continuous improvement initiatives by evaluating new big data systems or cloud solutions such as AWS or Azure Public Cloud offerings.