Jakarta, Indonesia**JOB TYPE**- Full-time**About the Role**:Create and maintain optimal data pipeline architecture. -Assemble large, complex data sets that meet functional / non-functional business requirements processes, optimising 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 GCP 'big data' technologies.**Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. -Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. -Create data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader. -Work with data and analytics experts to strive for greater functionality in our data systems.**Requirements**:Advanced working** SQL **knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases -Experience building and optimizing '**big data' data pipelines, architectures and data sets**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 -A successful history of manipulating, processing and extracting value from large disconnected datasets -Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores -Experience supporting and working with cross-functional teams in a dynamic environment -Experience with one object-oriented/object function scripting languages (**Python, Java, Scala, etc)**Experience with big data tools**: Hadoop, Spark, Kafka, Apache beam etc**Experience with relational SQL and NoSQL databases, including Postgres and Cassandra -Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
