Junior Data Engineer

Zurich 56 Company Ltd; Kuala Lumpur; On-site; MYR 70,000 - 90,000; Full time

Job summary

A leading analytics firm in Kuala Lumpur is seeking a Data Engineer with extensive knowledge in SQL and experience in building robust data pipelines. The role involves creating and maintaining data solutions and collaborating with various teams to optimize data flow. Ideal candidates should have 2-3 years of relevant experience and a graduate degree in a quantitative field, with proficiency in Azure services and tools. Join us in shaping the future of data architecture and analytics.

Qualifications

• 2-3 years of experience in a Data Engineer role.
• Experience with relational SQL and NoSQL databases.
• Proven history of working with large unstructured datasets.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Design, implement, and maintain data pipelines for Azure.
• Work with stakeholders to assist with data-related technical issues.

Skills

Advanced SQL knowledge

Data pipeline optimization

Analytic skills

Experience with NoSQL databases

Project management skills

Education

Graduate degree in Computer Science or related field

Tools

Azure cloud services

Data pipeline tools (Airflow, etc.)

Python

Java

C++

Job description

Job Overview

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 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 company’s data architecture to support our next generation of products and data initiatives.

Responsibilities for Data Engineer

• 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.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
• Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations.
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
• Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.
• 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.
• 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.
• Project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 2-3 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 relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with Azure cloud services implementation, Azure Databricks
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Location(s): MY - Kuala Lumpur
Schedule: Full Time