Big Data Engineer

Pt Platinumetrix Global Inovasi

Jakarta, Indonesia

Company prefers not to disclose

Software Engineering

Full-Time

3 - 5 years of experience

Must have skills

Spark

Hadoop

Azure DevOps

Job description for Big Data Engineer at Pt Platinumetrix Global Inovasi

Responsibilities for Data Engineer
Create and maintain scalable source code version management and code repository architecture
Create and maintain optimal data pipeline architecture
Collaborate with data governance owners to uncover and define business requirements
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 Azure or      AWS ‘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 stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data      infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data  systems.
Qualifications for Data Engineer
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.
Strong  project management and organizational skills.
Experience  supporting and working with cross-functional teams in a dynamic      environment.
We are  looking for a candidate with 3+ years of experience in a Data Engineer      role, who has attained a Graduate degree in Computer Science, Statistics,      Informatics, Information Systems or another quantitative field. They      should also have experience using the following software/tools:
Experience  with big data tools: Hadoop v2, Spark, Kafka, Hive, HBase etc.
Experience  with relational SQL and NoSQL databases, including Postgres and MongoDb.
Experience  with data pipeline and workflow management tools: DBT, Azkaban, Luigi,   Airflow, etc.
Experience  with source code management tools: GitHub, GitLab, Bit Bucket, Azure  Repo, etc.