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Data Engineering role at Telkom Indonesia based in Banjarnegara, Central Java. Day to day the person designs and implements data engineering solutions, builds and maintains data infrastructure, analyzes data for insights, and creates reports and visualizations using Python/Java and SQL/NoSQL databases.
Data Engineer at Telkom Indonesia's Banyumas (Central Java) office who designs data warehouses, builds and maintains data pipelines, and produces analyses, reports, and visualizations to support decision-making. Core stack: Python, SQL, big data tools (Hadoop/Spark), and cloud platforms (AWS/Azure/GCP).
Data Engineer for Telkom Indonesia in Ambon, Maluku: designs, builds, and maintains data systems, implements data engineering solutions, and analyzes data to support business decisions. Core tech includes Python or Java, SQL/NoSQL databases, big data tools (Hadoop, Spark, Kafka), and cloud platforms (AWS, Azure, GCP).
Data Engineering role at Telkom Indonesia in Banjar, West Java: design and build data warehouses, develop and maintain data pipelines, and support decision-making through data analysis. Core technologies include SQL, Python, big data tools (Hadoop/Spark), cloud platforms (AWS/GCP/Azure), and data visualization.
Data engineer at Telkom Indonesia who designs data warehouses, builds data pipelines, and performs analysis to support business decisions. Core stack includes SQL, Python, Hadoop/Spark, and cloud platforms, working on-site in Banjar, West Java.
Data Engineer at Telkom Indonesia in Bandar Lampung who designs, develops, and maintains data systems and analysis to support business decisions. Core work centers on SQL, Python, Hadoop, and Spark, with Agile practices and teamwork.
Data Engineer at Telkom Indonesia in Banda Aceh who builds data pipelines, designs cloud data warehouses, and analyzes data to support business decisions, working with SQL, Python, Hadoop, Spark, and AWS or GCP.
Data Engineer at Telkom Indonesia in Banyumas, Central Java, builds data warehouses and data pipelines. Day-to-day work centers on Python and SQL with big data technologies, requiring at least 2 years of experience and strong attention to data quality.
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