Data Engineer
Technology
insignia.co.id5 hari yang laluSampai 4/1/2027
Penuh waktu
Deskripsi pekerjaan
We're Hiring Data Engineer
Location: Kebon Jeruk, West Jakarta
Work Arrangement: Hybrid (3 days WFO, 2 days WFH)
About the Role
Insignia is looking for a Data Engineer to design, develop, and maintain scalable data pipelines while supporting data migration and cloud data engineering projects for our clients.
Responsibilities
- Design, develop, and optimize end-to-end ETL/ELT data pipelines using Python, PySpark, and SQL.
- Build and maintain data solutions using Databricks, Delta Lake, and AWS services.
- Execute data migration, including data mapping, transformation, validation, and reconciliation.
- Develop data models and implement data quality checks to ensure data accuracy and reliability.
- Monitor production pipelines, troubleshoot issues, and optimize performance.
- Collaborate with clients and cross-functional teams to translate business requirements into technical solutions.
- Take ownership of project deliverables and ensure timely, high-quality delivery.
- Minimum 2-5 years of experience in Data Engineering.
- Strong proficiency in Python, PySpark, and SQL.
- Hands-on experience with Databricks, preferably Delta Lake, Auto Loader, and Databricks Workflows.
- Practical experience with AWS data services, such as S3, Glue, RDS/Aurora, or Redshift.
- Proven experience in data migration across databases or data platforms.
- Strong understanding of ETL/ELT, data modeling, and data lakehouse architecture.
- Experience with workflow orchestration tools such as Apache Airflow.
- Familiarity with Git and CI/CD practices.
- Strong problem-solving, communication, and collaboration skills.
- Able to work independently and communicate effectively with clients and stakeholders.
- Experience in technology consulting or client-facing projects.
- Familiarity with Docker, data quality frameworks, and pipeline monitoring.
- AWS or Databricks certifications are a plus.
- Work on impactful data and digital transformation projects.
- Gain exposure to modern cloud and data technologies.
- Grow your technical expertise in a collaborative environment.
Keywords
OrchestrationRedshiftApache AirflowAirflowPythonSqlApache Http ServerCI/CD
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