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.
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What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries.
With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
