Senior Data Engineer

7 months ago


Jakarta, Indonesia Cloud Kinetics Full time

**Job Information**:
Work Experience

**6-9 years**
***

Industry

**Cloud IT Company**
***

City

**Jakarta**
***

State/Province

**Jakarta Raya**
***

Country

**Indonesia**
***

Zip/Postal Code

**14770**
***
- Design, implement and maintain robust/reliable data systems which comprise of extractions, loading data from a wide variety of data sources, data transformations, and system monitoring.
- Align with business/client requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Perform database migrations: assessments, planning and implementation
- Catch up with latest technologies as well as learning established-technologies in depth

**Requirements**:

- 6+ years of hands-on data engineering experience
- Expertise with AWS services: S3, Redshift, EMR, Glue, Kinesis, DynamoDB
- Building batch and real-time data pipelines
- Python, SQL coding for data processing and analysis
- Data modeling experience using Cloud based data platforms like Redshift, Snowflake, Databricks
- Design and Develop ETL frameworks
- ETL development using tools like Informatica, Talend, Fivetran
- Creating reusable data sources and dashboards for self-service analytics
- Experience using Databricks for Spark workloads or Snowflake
- Working knowledge of Big Data Processing
- CI/CD setup
- Infrastructure-as-code implementation
- Any one of the AWS Professional Certification
- Expertise with Cloud Data Services
- Batch & real-time data integration
- Star Schema, Partitioning, Incremental Load setup
- Building data lake and Lakehouse
- Step Functions/AMWAA/Airflow
- Building data pipelines using Spark
- SQL, Python
- Real-times pipelines with tools like Kafka/Kinesis
- Metadata management
- Data Encryption



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