DESKRIPSI PEKERJAAN
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with data and analytics experts to strive for greater functionality in the data systems.
Employ an array of technological languages and tools to connect systems together.
Collaborate with members of the team (data architects, the IT team, data scientists) on the project’s goals.
Recommend different ways to constantly improve data reliability and quality.
Use large data sets to address business issues
Deploy sophisticated analytics programs, machine learning and statistical methods
Prepare data for predictive and prescriptive modelling
Identify ways to improve data reliability, efficiency and quality
Design, construct, install, test and maintain data management systems.
REQUIREMENT
Bachelor’s degree in computer science, software/computer engineering and other related background
Knowledge of programming language minimum 2 programming language (Java, Scala, Python, or OOP programming is preferable)
Understand batch and streaming big data processing concept
Experienced in using ETL tools such as Talend, Informatica, Pentaho Data Integration, etc
Experienced in developing Rest API
Experienced with Hadoop technology
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of No-SQL databases.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
DETAIL LOWONGAN
- Umur -
- Min GPA -
- Min. Qualification S1/D4
- Min Experience Staff
