Senior Data Engineer at Encora

, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

0.0

Posted On

24 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Technologies, Big Data Processing, Python, Scala, Java, SQL, Apache Spark, Airflow, Kafka, Flink, Data Warehousing, Snowflake, Redshift, Databricks, AWS, Azure, Google Cloud Platform

Industry

IT Services and IT Consulting

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.

Responsibilities

The Senior Data Engineer will design, build, and maintain scalable and reliable data pipelines to support business intelligence and analytics needs. They will also collaborate with data scientists and analysts to deliver high-quality data solutions while ensuring data quality and compliance.