Associate Data Engineer

Mekari is Indonesia's no. 1 Software-as-a-Service (SaaS) company. With our ecosystem of software solutions—including Mekari Jurnal, Mekari Talenta, Mekari Qontak, and Mekari Flex, we aim to facilitate entrepreneurs and leaders as they accelerate the digital transformation of their businesses.

In our 10+ years of journey we have reached over 1 Million platform users, and we're not planning to stop any time soon. We need more people like you: builders and owners with calculated ambition who are eager to grow and create their #BiggestImpact.

Job Descriptions:

• Oversee the data lake, data warehouse & data pipeline that can adequately handle the needs of a rapidly growing data-driven company.
• Analyze data from a large number and variety of data sources.
• Maintain the performance of our data analytics platform to ensure accurate, reliable, and timely delivery of key insights for decision making.
• Collaborate with data analysts, data scientists, and business process owners in order to provide them with needed data and infrastructure.

Requirements/Qualifications:

• A degree or higher in Computer Science, Software Engineering, or other related technical disciplines.
• 1+ years of industry experience in software and/or data engineering.
• Good understanding of data modeling.
• Fluency in programming with Python/Java/Scala and SQL.
• Experience with data engineering tools such as Spark, Kafka, and Airflow.
• Familiarity with cloud big data environments such as AWS (EMR, Glue, Athena, Redshift) and GCP (BigQuery, Dataflow, Dataproc).
• Proficiency in software engineering best practices such as clean/maintainable code, Git, code review, unit/integration testing, Infrastructure as Code, and Continuous Integration/Continuous Delivery.

Working Arrangement: Hybrid.

Office location: Sudirman, Jakarta, Indonesia.

Our team will review your application and will be in touch if your application is shortlisted to the next stage. If you do not hear from us in 30 days, we will keep your resume on file in case a relevant opportunity opens up.