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Jakarta, Indonesia Hana Bank Full time

Responsible to support digital business to not only build data platform architecture but also to make fact-based decisions using advanced analytics, and develop predictive analytics at scale

Develop data science competencies and resources within the business for the digital business exploration of big data sets and source data as well as opening access to hidden/ unexplored data for data analytics, machine learning, and predictive analysis.

Lead in developing and implement data infrastructure improvement to a scalable architecture for big data analysis.

Collaborate with product owners and engineers to address priority business metrics, provide insights, drive report enhancements and utilization, and conduct ad-hoc analyses to support decision-making.
Bachelors in Computer Science and related fields

Has Experience 5-8 years in Senior Data Engineering field

Experience in leading a team of engineers; you have the ability and interest to teach other best practices and mentor less experienced engineers

Strong sense of ownership and self-starter who is

target-driven and self-motivated

Expert in SQL and high-level languages such as Python or Java

Built and maintained data warehouses and ETL pipelines

Advance using real-time data streaming infrastructures like Kafka, Dataflow, Spark, Hadoop, Hive, etc.

**Proficient in understanding Database (Relational & NoSQL)**: PostgreSQL, MySQL, Cassandra, etc.

Understand about data warehousing and data mining concepts and Experience in using Cloud Product solutions