Senior Data Engineer - Snowflake/Databricks Pipelines

Encora Technologies Sdn Bhd; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

A leading tech company in Kuala Lumpur seeks an experienced Data Engineer to design and maintain scalable data pipelines. You will optimize data lake solutions using Snowflake or Databricks, collaborate with cross-functional teams, and ensure data quality and compliance standards. Candidates should have 7-8+ years of experience with strong expertise in SQL, data modeling, and scripting. This role offers the opportunity to work on innovative data solutions.

Qualifications

• 7–8+ years of hands-on experience as a Data Engineer.
• Strong experience in Snowflake and/or Databricks.
• Expertise in SQL and performance tuning for large datasets.
• Proficiency with scripting languages such as Python or Scala.
• Experience with data modeling techniques.
• Experience with CI/CD for data pipelines.
• Exposure to data governance and quality frameworks.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
• Develop and optimize data lake and warehouse solutions.
• Implement data ingestion and processing frameworks.
• Work closely with cross-functional teams.
• Build reusable data pipeline components.
• Implement data quality validation and monitoring.
• Optimize performance for data storage and queries.
• Ensure adherence to data governance and compliance.
• Participate in solution architecture discussions.

Skills

Data Engineering

Snowflake

Databricks

SQL

Python

Scala

CI/CD

Data Governance

Job description

A leading tech company in Kuala Lumpur seeks an experienced Data Engineer to design and maintain scalable data pipelines. You will optimize data lake solutions using Snowflake or Databricks, collaborate with cross-functional teams, and ensure data quality and compliance standards. Candidates should have 7-8+ years of experience with strong expertise in SQL, data modeling, and scripting. This role offers the opportunity to work on innovative data solutions.