Junior Data Engineer at Gotham Technology Group

Join our dynamic team as a Junior Data Engineer and kickstart your career in the exciting world of data! This role is designed for individuals eager to dive into data engineering and develop their skills in MLOps and AI platform engineering. You’ll play a vital role in building reliable data pipelines and transforming the way we harness data. In your day-to-day work, you will leverage cutting-edge technologies including Snowflake , Databricks , and Python to create and maintain scalable ETL/ELT pipelines, data lakes, and data warehouses. Collaborating with Data Scientists and Analysts, you will ensure data quality and contribute to projects involving AI Engineering , Data Warehousing , Data Quality , and MLOps . Your proficiency in SQL will be crucial as you help in integrating and analyzing large datasets. Join a collaborative team that values growth and innovation, where you will be mentored by experienced professionals and have ample opportunities to elevate your skills. With continuous learning and professional development, you’ll be on a fast track to advancing your career in the data field. This role is unique as it offers you the chance to work on transformative projects that impact real-world decisions. Embrace this opportunity to shape your future while making a tangible difference in the data landscape!

Design and implement scalable ETL pipelines utilizing Snowflake and Databricks technologies. Build robust data lakes and warehouses ensuring high data quality and reliability. Lead automation efforts for data ingestion and transformation processes across platforms. Architect data solutions that meet the needs of Data Scientists and Analysts effectively. Drive collaboration with cross-functional teams to gather and refine data requirements. Optimize existing data workflows to enhance performance and efficiency in data operations.

Competitive salary and comprehensive health benefits to support your well-being. Flexible health plans and wellness programs designed for work-life balance. Opportunities for professional growth through training and certifications in data technologies. Access to mentorship programs fostering career advancement and skill development. Dynamic work culture that promotes innovation, collaboration, and inclusivity. Exciting team events and perks to enhance your work experience and enjoyment.