Senior Data Engingger GCP, Bigquery

Create and maintain an optimal data architecture.

Collect complex data for the functional and non-functional needs of the company.

Identify, design, and implement the development process which includes process automation, optimization of data provision, redesign of scalable infrastructure, and so on.

Develop optimal infrastructure for the needs of extracting, transforming, and loading data from various sources such as SQL and AWS big data technologies.

Build a data pipeline analysis tool that can provide insights into the customer acquisition process, operational efficiency, and other metrics used to measure the company's business performance.

Work closely with company executives, product teams, and design teams to address data-related issues and support data infrastructure needs.

Perform data separation and ensure data security in various data centers.

Contribute to product development and optimization by data analysts and data scientists by creating data analysis tools.

Collaborate with data and analytics experts to create more functional data systems.

• Have a Diploma or Bachelor degree in Computer Engineering, Informatics Engineering, Computer Science, mathematics, statistics or other related degrees

  Having minimum 4 years experiences as Data engineer

  Having deep understanding in ETL and Data Warehousing Concept (fact, dimension, star schema / snowflake schema, SCD) and development flow

  Having good communication skills

  Able to work under minimum supervision

  Experience using ETL tools (Talend, etc.)

  Experience using relational databases (PostgreSQL, mySQL, etc.)

  Full WFO at Central Jakarta