Data Engineer

🗂 We’re Hiring: Data Engineer🕒 Employment Type: Full-Time💼 Level: Entry-Level to Mid-LevelWe are seeking a highly motivated, analytical, and technically skilled Data Engineer to join our growing technology and data team. This role is ideal for individuals who enjoy working with large datasets, building reliable data pipelines, developing scalable data infrastructure, and supporting data-driven business decisions.🎯 Key Responsibilities• Design, build, test, and maintain scalable data pipelines and data processing systems.• Collect, transform, clean, and integrate data from multiple internal and external sources.• Develop and maintain ETL and ELT workflows for structured and unstructured data.• Design and optimize databases, data warehouses, and data lakes.• Develop efficient SQL queries and data transformation processes.• Ensure data quality, accuracy, consistency, availability, and reliability.• Monitor data pipelines and troubleshoot data processing and integration issues.• Automate repetitive data engineering and data management processes.• Support the development of business intelligence dashboards and analytical data models.• Work with cloud-based data platforms and infrastructure.• Implement data security, access controls, governance, and compliance practices.• Optimize data pipelines and systems for performance, scalability, and cost efficiency.• Collaborate with Data Analysts, Data Scientists, Software Engineers, Cloud Engineers, and business teams.• Maintain technical documentation covering data architecture, pipelines, databases, and workflows.• Research and evaluate new data technologies, frameworks, and engineering best practices.✅ Requirements• Diploma or Bachelor’s degree in Computer Science, Data Engineering, Information Technology, Software Engineering, Mathematics, Statistics, or a related field is preferred.• Experience in data engineering, software development, database administration, or data analytics is an advantage.• Fresh graduates with relevant projects, internships, or technical experience are encouraged to apply.• Strong SQL skills and understanding of relational databases.• Programming experience in Python, Java, Scala, or similar languages.• Understanding of ETL/ELT processes, data pipelines, and data warehousing concepts.• Familiarity with databases such as MySQL, PostgreSQL, SQL Server, MongoDB, or similar technologies.• Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud is an advantage.• Familiarity with technologies such as Apache Spark, Airflow, Kafka, dbt, or similar tools is a plus.• Understanding of data modeling, data quality, and data governance principles.• Strong analytical, troubleshooting, and problem-solving skills.• Excellent attention to detail and ability to work with large and complex datasets.• Strong communication and teamwork skills.• Good written and verbal communication skills in English.🌟 What We Offer• Hands-on experience building modern data infrastructure and scalable data pipelines.• Exposure to cloud platforms, data warehouses, data lakes, and big data technologies.• Structured training and mentorship from experienced data and technology professionals.• Career progression into Senior Data Engineer, Analytics Engineer, Cloud Data Engineer, Data Architect, or Data Platform Engineer roles.• Opportunities to work on high-impact data and technology projects.• Collaborative, innovative, and data-driven working environment.• Continuous learning and professional development opportunities.• Competitive compensation with performance-based incentives.