Data Platform Engineer

Beecruit Pte Ltd; Singapore; Presencial; SGD 110.000 - 180.000; Jornada completa

Descripción de la vacante

Beecruit Pte Ltd is seeking a Data Platform Engineer to expand and optimize data pipelines and architecture. You will support multiple teams and build scalable data systems from the ground up to enable data-driven decisions across the organization.

The ideal candidate has 5+ years of Data Engineer experience, strong SQL, and experience with Hadoop, Spark, Kafka, and AWS data services. Collaboration with analytics and product teams is a key part of the role.

Formación

• 5+ years of experience as a Data Engineer.
• Strong SQL knowledge and relational DB experience.
• Experience with big data tools and data pipelines.
• Experience with root cause analysis and data quality improvements.
• Collaborative with cross-functional teams to deliver data solutions.

Responsabilidades

• Create and maintain optimal data pipeline architecture and assemble large, complex data sets meeting business requirements.
• Build infrastructure for ETL using SQL and AWS big data technologies.
• Develop analytics tools that provide insights into customer metrics and operational performance.
• Collaborate with Executive, Product, Data and Design teams to support data infrastructure needs.
• Keep data secure and separated across regions and data centers.
• Create data tools for analytics and data science teams to advance products.

Conocimientos

SQL

Big data pipelines

Data wrangling

Python

Cross-functional collaboration

Educación

Graduate degree in Computer Science / Statistics / Informatics / Information Systems

Herramientas

Hadoop

Spark

Kafka

Airflow

Azkaban

Luigi

PostgreSQL

Cassandra

AWS

Descripción del empleo

Job Description: Data Platform Engineer We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.

Responsibilities:

• 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 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 and AWS regions.
• 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:

• 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 5+ 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, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.