Data Engineer

We are looking for a highly motivated, engineer who loves data. Someone who collects, moves, manipulates, researches and stores data and can code these processes into re-usable and reliable tools.

Roles and Responsibilities

  • As part of the analytics team you will design, develop and implement data products and tools together for our business analysts and data scientists.
  • You will be responsible for the reliability, scalability, and usability of all of our data elements, whether in databases or in raw form.
  • You will maintain and manage data storage, workflows and pipelines and work closely with our backend engineers to put these solutions into production.
  • Automate manual processes, optimize data delivery, re-design infrastructure for greater scalability
  • Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and other technologies.
  • You research new technologies and solutions in the realm of data analytics and data science that can increase the performance, reliability and quality of our data assets.
  • You will collaborate with internal teams (engineering, analytics, and operations) to bring our products from design to delivery

You should have

  • Exceptional CAN-DO ATTITUDE
  • Min 3 years of practical working experience in Python, R, Java, Scala or equivalent
  • Min 3 years working experience developing ETL solutions, data workflows, pipelines and products in Python, R, Java, Scala or equivalent
  • Well-versed in SQL, either one of the followings: PostgreSQL, MySQL, MongoDB, Teradata, etc
  • Experience with Big Data technologies, either one of the followings: Hadoop, Redshift, BigQuery, etc.
  • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
  • Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
  • Solid communication skills (Bahasa Indonesia and English)
  • You are curious, analytical, and fast learning
  • You must be results-oriented and willing to work in a fast and dynamic environment
  • Excellent problem solving skills
  • You are resourceful and self-driven to explore new technologies to solve the problem at hand
  • Bachelor’s degree in Engineering, Computer Science, or similar advanced degree

Nice to have experience

Numpy, Pandas, Scipy, Scikit-learn

Data Visualization


Stream and batch processing

Data pipeline solutions: Luigi, Oozie, Azkaban, Airflow

Data storage solutions: Hive/Pig, Spark, SparkSQL, BigQuery, Cassandra, Elastic Search, Kafka

Presentation/BI tools: Tableau, Jupyter, Kibana, Bimo, Superset

Master’s Degree in Engineering or Computer Science

Apply Now

Bring your passion and your A-game, and you'll fit right in