Data Engineer

About the company

Geekhunter is hiring on behalf of our client a recognised leader in cloud and digital innovation.

Job Responsibilities:

• Define and implement Medallion Architecture (Bronze Silver Gold zones) storage patterns and schema evolution standards.
• Design build and maintain scalable ETL/ELT pipelines using orchestration tools such as Airflow Step Functions or dbt.
• Develop connectors for multi-source ingestion from ERP systems APIs flat files and IoT streams.
• Audit and optimize queries and transformation logic for performance and cost efficiency.
• Implement governance measures including automated validation metadata cataloging lineage tracking and access controls.
• Act as a technical consultant to business units translating requirements into high-performance data deliverables.
• Provide structured datasets for BI dashboards (Power BI/Tableau) and enable downstream AI/ML pipelines.

Job Requirements:

• A Bachelor’s or Master’s degree in Computer Science Information Systems or a related discipline.
• Relevant cloud or platform certifications such as Databricks Certified Data Engineer Snowflake SnowPro Core or AWS/Azure/GCP Data Engineer are highly valued.
• Between 3–7 years of experience in data engineering with a focus on building and scaling cloud-native data platforms.
• Strong expertise in at least one major cloud data stack (AWS Azure or GCP) and the ability to operate effectively in multi-cloud environments.
• Proficiency in SQL and Python/PySpark.
• Demonstrated experience integrating enterprise ERP data sources.
• Solid knowledge of API development and integration (REST GraphQL Webhooks).
• Strong understanding of data modelling techniques including 3NF Star Schema Dimensional modelling and Data Vault basics.
• Ability to design platform-wide standards and lightweight governance frameworks (data quality checks cataloguing).

Optional Capabilities

• Expertise in Databricks (Unity Catalog Delta Live Tables) or Snowflake (Snowpark Data Sharing Performance Tuning).
• Familiarity with ecosystem tools such as dbt or BigQuery.
• Experience with real-time data processing using Kafka Kinesis or Pub/Sub.

Soft Skills

• A consultative mindset with a willingness to engage directly with customers to understand challenges and present solutions.
• Commitment to in-office collaboration for effective teamwork.
• Strong communication skills to explain complex AI and data concepts to both technical and non-technical audiences.
• A proactive “builder” mindset with ownership of platform standards.
• Ability to bridge technical logic with business needs.
• Resilience in navigating ambiguity and proposing best-practice solutions.
• Willingness to work onsite in the Jakarta area.

Benefits:

• Competitive Salary
• BPJSK & TK
• Private Health Insurance
• THR
• Transportation Lumpsum
• Quarterly Incentives

Required Skills:

Databricks Certified Data Engineer Snowflake SnowPro Core AWS/Azure/GCP Data Engineer data engineering