Senior Analytics Data Engineer - Bali, Indonesia

Reed Elsevier ยท ๐Ÿ“ Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung ยท Diposting 2026-10-09
FULL_TIMEโญ TERVERIFIKASI
IDR 400000000 - 700000000
Are you a passionate Senior Analytics Data Engineer looking to make an impact in the vibrant tech scene of Bali? Reed Elsevier is seeking a talented individual to join our team and drive our data analytics initiatives. In this role, you will be responsible for designing, developing, and maintaining data pipelines, ensuring the integrity and quality of our data, and providing actionable insights to support business decisions. If you are a data-driven professional with a strong background in data engineering and analytics, we encourage you to apply and be part of our dynamic team in Bali.

๐Ÿ“‹ Tanggung Jawab Pekerjaan

Design, develop, and maintain scalable and efficient data pipelines to support analytics initiatives.,Ensure the integrity, quality, and accuracy of data through data validation, cleansing, and transformation processes.,Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.,Optimize data storage and retrieval processes to improve performance and reduce costs.,Develop and maintain data models, schemas, and metadata to support analytics and reporting needs.,Monitor and troubleshoot data issues, and provide timely solutions to ensure data availability and reliability.,Stay up-to-date with emerging technologies and industry trends to drive innovation and improve data engineering practices.

๐ŸŽ“ Kualifikasi & Syarat

Bachelor's degree in Computer Science, Data Engineering, or a related field.,5+ years of experience as a Data Engineer or similar role.,Strong programming skills in languages such as Python, Java, or Scala.,Experience with big data technologies such as Hadoop, Spark, or Hive.,Familiarity with data warehousing concepts and tools such as SQL, Redshift, or Snowflake.,Knowledge of data visualization tools such as Tableau or Power BI is a plus.,Excellent communication and collaboration skills to work effectively with cross-functional teams.,Ability to work in a fast-paced, dynamic environment and meet tight deadlines.

๐Ÿ› ๏ธ Keahlian

Data EngineeringData PipelinesData WarehousingBig Data TechnologiesSQLPythonJava/ScalaData Visualization
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