Tech Holding is a global technology solution company that provides Professional Services, Managed Services, and Staffing Solutions. Specializing in digital transformation and business growth, the company leverages its extensive industry knowledge and technological expertise to assist businesses in navigating the digital landscape. Tech Holding is committed to optimizing business operations and supplying the necessary talent to help clients achieve strategic objectives, making them a trusted partner for leading companies worldwide.
Management • nodeJS • ReactJS • Machine Learning • Artificial Intelligence
January 7
Tech Holding is a global technology solution company that provides Professional Services, Managed Services, and Staffing Solutions. Specializing in digital transformation and business growth, the company leverages its extensive industry knowledge and technological expertise to assist businesses in navigating the digital landscape. Tech Holding is committed to optimizing business operations and supplying the necessary talent to help clients achieve strategic objectives, making them a trusted partner for leading companies worldwide.
Management • nodeJS • ReactJS • Machine Learning • Artificial Intelligence
• About us: Working at Tech Holding isn’t just a job, it’s an opportunity to be a part of something bigger. We are a full-service consulting firm that delivers predictable outcomes and high-quality solutions. • The Role: We are looking for a talented Senior Data Engineer/Analyst to join Tech Holding family, aiming to design scalable data solutions and leverage machine learning for complex business problems. • Responsibilities: Design, develop, and optimize data pipelines and workflows for seamless data movement and processing. Build and maintain scalable data architectures. Implement ETL processes and automate workflows. Analyze large datasets to identify trends. Develop, train, and deploy machine learning models. Mentor junior team members and partner with stakeholders.
• Bachelor’s degree in Computer Science, Data Science, or a related field. • 5+ years of experience in data engineering, focusing on large-scale data pipelines and systems. • Expertise in SQL for complex data analysis and manipulation. • Strong programming skills in Python and shell scripting, with experience in Spark for distributed data processing. • Hands-on experience with ETL tools and cloud platforms like AWS (e.g., S3, SageMaker, EMR). • Proficiency in working with relational databases and data warehouses (e.g., Snowflake, Redshift). • Ability to scale data processing and modeling solutions to handle millions of rows efficiently. • Strong problem-solving skills with the ability to devise innovative solutions. • Excellent communication and interpersonal skills, capable of working with technical and non-technical teams. • Proven ability to work independently and manage priorities effectively in a fast-paced environment.
• Remote Work Opportunities • Flexible Work Hours • Professional Development Opportunities
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