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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Data Engineer - **Company:** SAVOSH TREE SERVICE INC - **Location:** Frisco, TX, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Amazon S3, Data Analysis, Bash Shell, Big Data, Cloud Computing, Cloud Database, Computer Programming, Databases, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Design, Dimensional Modeling, Distributed Computing Environment, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Python (Programming Language), Unix Shell, Microsoft SQL Server, Oracle (Applications), Query Optimization, Azure Data Lake, Shell Script, SQL Databases, Talend, Scripting, Cloud Platform System, Data Ingestion, Apache Spark, Data Strategy, Pyspark, Vba Programming Language, AWS Data Analytics, Restful APIs, Looker Analytics, Data Pipelines - **Published:** July 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=580224382e8a12e0 ## About the Role * Proven experience designing and implementing large-scale data pipelines in cloud environments using AWS services such as S3, Glue, Redshift, Lambda, and related tools. * Strong proficiency in SQL programming across multiple database platforms including Microsoft SQL Server, Oracle, and cloud-based systems like Azure Data Lake or similar. * Hands-on experience with big data technologies such as Hadoop ecosystem components (HDFS, Hive), Spark (PySpark or Scala), and Apache Hive for distributed data processing. * Demonstrated ability to develop ETL workflows using Informatica or Talend; familiarity with RESTful API integration is a plus. * Expertise in database design principles including dimensional modeling for data warehousing solutions; experience with query optimization techniques is preferred. * Knowledge of scripting languages such as Python, Bash (Unix shell), VBA for automation tasks; experience with analysis skills for deriving insights from complex datasets. * Familiarity with Agile methodologies for project management; ability to adapt quickly in a fast-paced environment while maintaining attention to detail. Join us if you're passionate about leveraging cloud technology to transform raw data into actionable insights! Bring your expertise in AWS cloud platforms combined with your skills in big data processing, database design, and analytics to make a meaningful impact on our organization's success. ## Description We are seeking a dynamic and highly skilled AWS Data Engineer to join our innovative data team. In this role, you will be at the forefront of designing, developing, and maintaining scalable data pipelines and architectures leveraging Amazon Web Services (AWS) cloud platform. Your expertise will enable the organization to harness the power of big data, facilitate advanced analytics, and support strategic decision-making. This position offers an exciting opportunity to work with cutting-edge technologies, collaborate across teams, and contribute to transformative data solutions that drive business growth., * Design, develop, and optimize scalable ETL (Extract, Transform, Load) pipelines using AWS services such as Glue, S3, Redshift, and Lambda to facilitate efficient data ingestion and processing. * Build and maintain robust data models and schemas aligned with best practices in dimensional modeling for data warehousing environments. * Develop and implement data management strategies integrating diverse sources including SQL databases (Microsoft SQL Server, Oracle), cloud databases (Azure Data Lake), and big data platforms like Hadoop, Spark, and Apache Hive. * Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions using Python, Java, Bash scripting, Shell scripting, and Talend. * Ensure high-quality data through rigorous validation, query management, and adherence to security standards within cloud environments. * Support model training and analysis activities by providing clean, well-structured datasets; utilize Looker for visualization and reporting purposes. * Participate in Agile development processes to continuously improve data workflows and ensure timely delivery of projects. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)