Data Engineer
📋 Role Overview & Responsibilities
WE CAN'T DO SPONSORSHIP, MARGIN SHARING AND TRANSFER!
Job Title: Data EngineerLocation: Redmond, WA (Hybrid - 3 days a week)Contract Duration: 6 months (maximum contracting for 6 months), ending at the close of 2024
is seeking a Data Engineer to spearhead the development of our data infrastructure from the ground up. This position offers a unique opportunity to shape the data ecosystem of a dynamic organization, utilizing cutting-edge technologies and methodologies. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data lakes, and data warehouses, ultimately connecting them to reporting tools such as Tableau and Qlik Sense.Responsibilities:Develop and implement data pipelines, ensuring efficient and reliable data flow from various sources to the designated data storage solutions.Design and construct data lakes and data warehouses to accommodate diverse data types and support analytical and reporting needs.Implement Extract, Transform, Load (ETL) processes to cleanse, transform, and enrich raw data for analysis and reporting purposes.Utilize scripting languages such as Python, Scala, and Java to automate data processes and optimize system performance.Leverage AWS services, including Lambda, to build scalable and cost-effective data solutions.Collaborate with cross-functional teams to understand data requirements and deliver tailored solutions that meet business objectives.Troubleshoot and resolve data-related issues promptly, ensuring data integrity and availability.Stay updated with industry trends and best practices in data engineering, continuously enhancing the organization's data capabilities.Requirements:Bachelor's degree in Computer Science, Engineering, or a related field.3-5 years of experience in data engineering, with a focus on data modeling, data warehousing, and ETL pipeline development.Proficiency in scripting languages such as Python, Scala, and Java, with a strong emphasis on writing clean, efficient code.Hands-on experience with cloud platforms, particularly AWS, and familiarity with serverless computing using AWS Lambda.Strong understanding of data engineering concepts and methodologies, including data governance, data quality, and data security.Experience working with reporting tools such as Tableau and Qlik Sense, connecting them to backend data sources for visualization and analysis.Excellent communication skills and the ability to collaborate effectively with cross-functional teams.A self-starter mentality with the ability to thrive in a fast-paced, dynamic environment.Previous experience working in a startup environment is highly desirable.
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