Middle Data Engineer

Join Infomedia Nusantara, a leading technology solutions provider in Indonesia, as a Middle Data Engineer and play a pivotal role in designing, building, and optimizing our data infrastructure. In this contract-based position, you will work with cutting-edge data tools and technologies to ensure our data systems are robust, scalable, and efficient. Located in the vibrant city of Jakarta, you'll be part of a dynamic team that drives innovation and delivers exceptional value to our clients.

As a Middle Data Engineer at Infomedia Nusantara, you will be responsible for developing and implementing data solutions that support our business operations. You'll work closely with our data scientists, analysts, and other stakeholders to ensure our data is accurate, reliable, and actionable. This role offers a unique opportunity to grow your skills in a fast-paced, technology-driven environment.

If you are a passionate and experienced Data Engineer looking to make an impact in a leading technology company, we invite you to apply for this exciting opportunity in Kebayoran Lama, Jakarta Selatan.

📋 Tanggung Jawab Pekerjaan

• Design, build, and maintain data pipelines and ETL processes using tools like Apache Airflow, Apache Spark, and Python.
• Develop and optimize data storage solutions using databases like PostgreSQL, MySQL, and MongoDB.
• Ensure data quality and integrity by implementing data validation and cleansing processes.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Monitor and optimize data infrastructure performance, ensuring high availability and reliability.
• Stay up-to-date with emerging technologies and industry trends to drive innovation in our data practices.
• Provide technical guidance and mentorship to junior team members.
• Participate in code reviews and contribute to best practices for data engineering.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3-5 years of experience as a Data Engineer or similar role.
• Strong programming skills in Python, SQL, and familiarity with scripting languages like Bash.
• Hands-on experience with data processing frameworks like Apache Spark and Hadoop.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with data visualization tools like Tableau or Power BI is a plus.
• Certifications in data engineering or related fields are a plus.
• Excellent problem-solving skills and attention to detail.

🛠️ Keahlian

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