Experienced Senior Data Engineer for Remote Data Management and ETL/ELT Pipeline Development – Utilizing SQL, Python, and Cloud-Based Technologies

Remote Full-time
Introduction to arenaflex arenaflex is a leading organization in the private industry, renowned for its innovative approach to data management and analysis. As a pioneer in the field, we are committed to harnessing the power of data to drive business growth, improve decision-making, and create enchanting experiences for our customers. Our Information Designing group is dedicated to designing and executing cutting-edge data solutions, and we are now seeking a talented Senior Data Engineer to join our team. Job Overview We are looking for a highly skilled and detail-oriented Senior Data Engineer to work remotely from the USA, responsible for planning and executing ETL/ELT data pipelines, designing and implementing database mapping/tables/views, and building batch processes using Windstream for multiple projects. As a key member of our team, you will collaborate with our Studios or Project Innovation colleagues to gather data requirements, validate data, and develop and test ETL/ELT data pipelines, ensuring seamless data management across various environments, including DEV, QA/UAT, and Push. Key Responsibilities Design, build, and maintain ETL/ELT data pipelines using SQL, Python, and other technologies Collaborate with cross-functional teams to gather data requirements and validate data Develop and implement database schema/tables/views and batch processes using Windstream Work with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar Participate in driving best practices around data engineering software development processes Utilize a range of technologies, including SQL, Python, Docker, Gitlab, Windstream, Snowflake, Looker, and PostgreSQL Essential Qualifications To be successful in this role, you will need: 2+ years of experience with SQL 2+ years of experience designing, building, and maintaining ETL/ELT data pipelines 2+ years of experience with cloud-based technologies, preferably AWS and S3 3+ years of experience in a Data Engineering role Experience working with data lakes, data warehouses, and application databases Experience utilizing Apache Windstream, Databricks, and other big data technologies 2+ years of experience using Gitlab/Github and Docker Bachelor's degree in Computer Science, Science, Engineering, or a related field Preferred Qualifications To stand out as a candidate, you will have: Experience with Windstream, Gitlab, Snowflake, and Scene Graduate degree in Computer Science, Science, Engineering, or a related field Experience in the streaming, media, or digital marketing industry Skills and Competencies To excel in this role, you will need to possess: Strong technical skills in SQL, Python, and cloud-based technologies Excellent problem-solving and analytical skills Ability to work collaboratively with cross-functional teams Strong communication and interpersonal skills Ability to work independently and manage multiple projects simultaneously Career Growth Opportunities and Learning Benefits At arenaflex, we are committed to the growth and development of our employees. As a Senior Data Engineer, you will have access to: Ongoing training and professional development opportunities Mentorship and coaching from experienced professionals Opportunities to work on high-impact projects and contribute to the development of cutting-edge data solutions A collaborative and dynamic work environment that fosters innovation and creativity Work Environment and Company Culture arenaflex is a dynamic and innovative organization that values diversity, inclusivity, and creativity. Our company culture is built on the principles of: Collaboration and teamwork Innovation and experimentation Continuous learning and growth Open communication and transparency Compensation, Perks, and Benefits As a Senior Data Engineer at arenaflex, you can expect: Competitive salary and benefits package Flexible working hours and remote work arrangements Opportunities for professional growth and development Access to cutting-edge technologies and tools A dynamic and collaborative work environment Conclusion If you are a motivated and detail-oriented individual with a passion for data engineering and a desire to work remotely, we encourage you to apply for this exciting opportunity. Join us at arenaflex and embark on a journey to create magic through data. Apply now and become a part of our innovative team! Apply Job! Apply for this job
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