Job Description

Senior Data Engineer

Important Information

Location: Kuala Lumpur

Experience: 6 years+

Job Mode: Contract

Work Mode: On-site

Job Summary

Highly skilled

Senior Data Engineer

to lead the development and optimization of our data infrastructure. Will be responsible for building scalable data pipelines, designing robust data architectures, and enabling analytics and machine learning workflows across the organization. Strong background in data engineering, cloud technologies, and big data processing frameworks.

Responsibilities & Duties

Design, build, and maintain scalable and reliable data pipelines (batch and streaming) to support business intelligence and analytics needs. Develop and manage data architectures including data lakes, data warehouses, and real-time data systems. Collaborate with data scientists, analysts, and software engineers to deliver high-quality data solutions. Ensure data quality, integrity, security, and compliance across all stages of data processing. Optimize data workflows for performance, scalability, and cost-efficiency. Implement ETL/ELT processes and automate data ingestion from multiple sources (APIs, databases, files, etc.). Monitor and troubleshoot data pipeline issues and perform root cause analysis. Participate in data modeling, schema design, and documentation. Mentor junior engineers and provide technical leadership on data engineering best practices.

Qualifications & Skills

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 6+ years of experience in data engineering or related roles. Strong proficiency in programming languages such as

Python

,

Scala

, or

Java

. Hands-on experience with

SQL

and working with large-scale relational databases. Expertise in building data pipelines using tools like

Apache Spark

,

Airflow

,

Kafka

, or

Flink

. Solid understanding of data warehousing concepts and experience with tools like

Snowflake

,

Redshift

or

Databricks

. Experience with cloud platforms such as

AWS

,

Azure

, or

Google Cloud Platform (GCP)

. Familiarity with containerization and orchestration tools (Docker, Kubernetes) is a plus.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world's leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora's technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.