Full Stack Data Engineer - Build End-to-End Data Solutions

Join Transnovasi as a Full Stack Data Engineer and play a pivotal role in designing, developing, and maintaining robust end-to-end data solutions. You will work on cutting-edge data pipelines, APIs, databases, and dashboards to empower data-driven decision-making across the organization. Based in Jakarta Timur, this is an exciting opportunity to be part of a dynamic team that values innovation and excellence.

As a Full Stack Data Engineer, you will be responsible for building and optimizing data pipelines that ingest, process, and deliver data from various sources. You will develop and maintain APIs to facilitate seamless data exchange between systems, ensuring data integrity and security. Additionally, you will design and implement databases to store and manage data efficiently, and create interactive dashboards to visualize data insights.

With a competitive salary of Rp 15,000,000 - Rp 25,000,000 per bulan, this role offers a chance to grow and thrive in a supportive and collaborative environment. Join us and be part of the future of data engineering in Jakarta Timur.

📋 Tanggung Jawab Pekerjaan

• Design, develop, and maintain robust end-to-end data solutions, including data pipelines, APIs, databases, and dashboards.
• Build and optimize data pipelines to ingest, process, and deliver data from various sources.
• Develop and maintain APIs to facilitate seamless data exchange between systems, ensuring data integrity and security.
• Design and implement databases to store and manage data efficiently.
• Create interactive dashboards to visualize data insights and support data-driven decision-making.
• Collaborate with cross-functional teams to understand business requirements and deliver data solutions that meet their needs.
• Monitor and optimize data pipelines and APIs to ensure performance, scalability, and reliability.
• Stay up-to-date with the latest industry trends and technologies to continuously improve data solutions.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 3-5 years of experience in data engineering, software development, or a related field.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data processing frameworks such as Apache Spark, Hadoop, or Flink.
• Knowledge of database technologies such as SQL, NoSQL, and data warehousing.
• Experience with API development and integration, including RESTful APIs and GraphQL.
• Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
• Strong problem-solving skills and attention to detail.

🛠️ Keahlian

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