Data Engineer

🗂 We’re Hiring: Data Engineer🕒 Employment Type: Full-Time💼 Level: Entry-Level to Mid-LevelWe are seeking a skilled, analytical, and motivated Data Engineer to join our growing technology team. This role is ideal for individuals who are passionate about data infrastructure, scalable systems, data pipelines, and transforming complex datasets into reliable and actionable information for business and technical decision-making.🎯 Key Responsibilities• Design, build, and maintain scalable data pipelines and data processing systems.• Develop and optimize ETL and ELT workflows for structured and unstructured data.• Collect, transform, clean, and integrate data from multiple sources.• Design and maintain data warehouses, databases, and data lakes.• Develop efficient SQL queries and data transformation processes.• Monitor data pipelines and troubleshoot data quality, performance, and reliability issues.• Implement data validation, governance, security, and quality-control processes.• Collaborate with Data Scientists, Data Analysts, Software Engineers, and business teams.• Optimize data infrastructure for scalability, performance, and cost efficiency.• Automate repetitive data processing and engineering workflows.• Maintain technical documentation for data architecture, pipelines, and processes.• Stay updated with emerging data engineering technologies, cloud platforms, and industry best practices.✅ Requirements• Experience in data engineering, software engineering, analytics engineering, or a related field is preferred.• Strong proficiency in SQL and experience with relational databases.• Experience with Python, Java, Scala, or other programming languages is preferred.• Understanding of ETL/ELT processes, data pipelines, and data warehouse concepts.• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud is an advantage.• Experience with tools such as Apache Spark, Airflow, Kafka, or similar technologies is a plus.• Strong understanding of data structures, algorithms, and database architecture.• Strong analytical, problem-solving, and debugging skills.• Ability to work with large datasets and complex data environments.• Strong attention to detail and commitment to data accuracy and reliability.• Excellent communication and collaboration skills.• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, Engineering, or a related field is preferred.🌟 What We Offer• Opportunity to work with modern data platforms and large-scale data environments.• Exposure to cloud technologies, data architecture, and advanced analytics projects.• Career progression into Senior Data Engineer, Data Architect, Analytics Engineer, or Data Platform Engineer roles.• A collaborative, innovative, and technology-driven working environment.• Training, mentorship, and opportunities for continuous technical development.• Opportunity to work closely with experienced engineers, data scientists, and business teams.• Competitive compensation with performance-based incentives.