About the Client The Client has been servicing technology solutions to the New York City real estate industry for over a quarter of a century. As there is no widely accepted MLS in the Manhattan real estate industry, the Client's application environment is the system that transmits up to the minute inventory from one firm to another. This system has grown from 10 firms and 300 listings exchanged daily to close to 500 firms and approximately 10,000 listings exchanged daily in accordance with REBNY's RLS guidelines. The Client supports a full service listings system application which is in use by approximately 300 firms. Their products include but are not limited to the full service listing application supporting both the agent end user and data entry, a mobile listings application, a variety of listing feeds, off the shelf and customized VOW options, and marketing services which consist of custom brochures, an interface with the New York Times' Ad times 2000 and a proprietary advertising tool known as Premium Marketing Opportunity (PMO). The Client has a long standing history of successful data conversions, integrations, and development of customized business solutions. There is a sophisticated web-application that allows a New-York real estate agent to find the right properties available for sale, rent, etc. and generate various reports for the agent's clients. Your Team We've created a team of 40 team members on the Ukrainian end and are ready to hire 1 more team member due to new business challenges. For now, our friendly team consists of FullStack .Net developers, Front end developers, QAs, DBAs, Researchers, BA, and Designer. What's in it for you Interview process that respects people and their time Professional and open IT community Internal meet-ups and resources for knowledge sharing Time for recovery and relaxation Bright online and offline events Opportunity to become part of our internal volunteer community Responsibilities Design, develop, and maintain efficient and scalable data pipelines for data extraction, transformation, and loading (ETL) processes. Utilize SQL and Python to analyze data, generate insights, and support business decision-making. Work closely with data scientists, analysts, and other stakeholders to understand data needs and provide technical support. Stay up-to-date with industry trends, best practices, and emerging technologies in data engineering. Proactively identify opportunities for process improvement and automation. Skills 3-5 years of experience in data engineering or a related role. Proficiency in writing complex SQL queries for data extraction, analysis, and reporting. Strong programming skills in Python, with experience in data processing libraries such as Pandas, NumPy, etc. Familiarity with Linux-based operating systems, including shell scripting for automation tasks. Experience with data warehousing concepts and ETL processes. Familiarity with big data technologies (Hadoop, Spark) is a plus. Excellent communication skills and ability to work collaboratively in a team environment. Your personal recruiter Viktoriia Dorosh Apply Now First name Last name Email Phone/Skype Attach LinkedIn, GitHub or portfolio link (optional) Where did you hear about Brightgrove? Drop or upload your CV .pdf, .docx, .rtf, .pptx up to 20mb Sharing is caring & referral bonus #J-18808-Ljbffr
