Summary
✨ AI‑Generated
An entry-level to mid-level Data Engineer will design, build, and maintain reliable data pipelines and processing systems. The role includes ETL/ELT workflows, data integration and cleansing, warehouses and lakes, data modeling, database optimization, monitoring, validation, and troubleshooting. It suits someone interested in scalable data infrastructure, cloud technologies, and software engineering.
Highlights
Entry-level to mid-level opportunity focused on scalable data infrastructure, reliable pipelines, cloud technologies, data quality, analytics enablement, and performance optimization.
Description
🗂 We’re Hiring: Data Engineer
🕒 Employment Type: Full-Time
💼 Level: Entry-Level to Mid-Level
We are seeking a highly analytical, technically skilled, and motivated Data Engineer to design, build, and maintain reliable data pipelines, infrastructure, and systems.
This role is ideal for individuals who are passionate about data, cloud technologies, software engineering, and building scalable solutions that enable data-driven decision-making.
🎯 Key Responsibilities
• Design, develop, and maintain scalable data pipelines and data processing systems.
• Build and optimize ETL/ELT workflows for structured and unstructured data.
• Collect, transform, clean, and integrate data from multiple sources.
• Develop and maintain data warehouses, data lakes, and data models.
• Monitor data pipelines and troubleshoot data quality or processing issues.
• Optimize database queries, data workflows, and system performance.
• Implement data validation, quality checks, and monitoring processes.
• Develop reliable data solutions to support analytics, reporting, and business intelligence.
• Work with cloud-based data platforms and modern data engineering technologies.
• Collaborate with Data Analysts, Data Scientists, Software Engineers, and business teams.
• Maintain technical documentation for data pipelines, architectures, and processes.
• Support automation of data workflows and recurring data operations.
• Research and evaluate new data technologies, tools, and engineering best practices.
✅ Requirements
• Diploma or Bachelor’s degree in Computer Science, Data Engineering, Information Technology, Software Engineering, or a related field is preferred.
• Fresh graduates and entry-level candidates with relevant technical projects are welcome to apply.
• Strong understanding of programming and data structures.
• Experience with Python, SQL, Java, Scala, or similar programming languages is an advantage.
• Familiarity with relational and NoSQL databases.
• Understanding of ETL/ELT processes, data pipelines, and data warehousing concepts.
• Familiarity with Git and version control systems.
• Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud is an advantage.
• Familiarity with tools such as Apache Spark, Airflow, Kafka, or dbt is a plus.
• Strong problem-solving and analytical skills.
• Strong attention to detail and commitment to data quality.
• Good communication and teamwork skills.
• Ability to learn new technologies and work effectively in a fast-paced environment.
🌟 What We Offer
• Hands-on experience building modern data infrastructure and pipelines.
• Exposure to cloud technologies, data platforms, and large-scale data systems.
• Career progression into Data Engineer, Cloud Data Engineer, Analytics Engineer, or Senior Data Engineer roles.
• Technical training, mentorship, and professional development opportunities.
• Opportunities to work with modern data engineering tools and technologies.
• A collaborative, innovative, and technology-driven environment.
• Competitive compensation with performance-based incentives.
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