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Open nowFirst seen 5 days ago

Senior Data Engineer

Agensi Pekerjaan Penta Consultancy Sdn. Bhd101 open roles

Where
Kuala Lumpur, Malaysia
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Your applicationOpen nowSenior Data EngineerAgensi Pekerjaan Penta Consultancy Sdn. Bhd · Kuala Lumpur, Malaysia
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

Job Responsibilities:

  • Design, develop, and maintain scalable data pipelines and data solutions using Databricks and PySpark.
  • Build and optimize ETL/ELT solutions for batch and near real-time data processing.
  • Design and maintain enterprise Data Warehouse and Lakehouse solutions, including Delta Lake and Delta Tables.
  • Develop dimensional data models using Fact/Dimension tables, Star Schema, Snowflake Schema, and SCD Type 1 & 2.
  • Implement and maintain data governance and security using Unity Catalog, RBAC, ABAC, data lineage, auditing, and fine-grained access controls.
  • Configure and manage Delta Sharing for secure internal and external data collaboration.
  • Support Databricks Genie and Genie Spaces adoption and administration.
  • Perform PySpark, SQL, Data Warehouse and Lakehouse performance tuning, including query, cluster and workload optimization.
  • Develop and maintain CI/CD pipelines and automate deployment, testing and release processes using GitHub, GitHub Actions or equivalent tools.
  • Collaborate with business users, data analysts, architects and technology teams to translate business requirements into scalable data solutions.
  • Provide technical guidance and mentorship to junior team members where required.
  • Continuously improve data platform performance, scalability, security, governance and cost efficiency. 

Job Requirements:

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science or a related field.
  • 5 years and above of experience in Data Engineering, Data Warehousing or Big Data technologies.
  • Strong hands-on experience with Databricks, Azure Databricks, PySpark, Delta Lake, Delta Tables and Databricks Workflows.
  • Strong knowledge of Unity Catalog, RBAC, ABAC, Delta Sharing, data governance and data security.
  • Experience with Databricks Genie / Genie Spaces is preferred.
  • Strong SQL skills with experience in query and data warehouse performance optimization.
  • Solid experience in Data Warehouse architecture, Lakehouse architecture and Medallion design patterns.
  • Strong knowledge of dimensional data modelling, including Fact/Dimension tables, Star Schema, Snowflake Schema and SCD.
  • Experience with GitHub, Git-based workflows and CI/CD, preferably using GitHub Actions.
  • Experience with at least one major cloud platform (Azure, AWS or GCP).
  • Knowledge of Infrastructure-as-Code, preferably Terraform, data observability and monitoring is an advantage.
  • Databricks certification is an added advantage.
  • Strong analytical, problem-solving and troubleshooting skills.
  • Good communication and stakeholder management skills, with the ability to work independently and across business and technical teams.
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