Data Engineer
PT.Japfa Comfeed Indonesia
- Full-Time
- On-site • Jakarta Selatan
- Rp10.000.000 – 14.000.000
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Job Description
Key Responsibilities
1. Design, build, and maintain scalable and reliable data pipelines.
2. Integrate data from various sources, including APIs, relational databases, and NoSQL databases.
3. Ensure data availability and quality across data warehouse, data lake, and lakehouse environments.
4. Optimize ETL/ELT processes and data pipelines for maximum performance and efficiency.
5. Ensure data replication processes between systems or environments run correctly and efficiently.
6. Collaborate with data analysts and data scientists to deliver clean, usable data and actionable insights.
7. Communicate effectively with principals and external stakeholders in English, particularly for system integration, troubleshooting, and technical documentation.
8. Maintain data security and ensure compliance with company policies and standards.
Requirements
Qualifications
1. Proven experience as a Data Engineer, Data Analyst, or in a related role.
2. Proficient in both spoken and written English (required for communication with international partners).
3. Strong understanding of APIs (REST, SOAP, or GraphQL).
4. Proficient in SQL and at least one programming language, preferably Python.
5. Solid knowledge of relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Redis).
6. Familiar with Big Data concepts and tools such as Hadoop, Spark, or Kafka.
7. Experience with cloud platforms (AWS, GCP, Azure), particularly in data-related services such as BigQuery, Redshift, or Snowflake.
8. Understanding of data warehouse, data lake, and lakehouse architectures.
9. Experience managing or monitoring data replication between systems or environments.
10. Capable of performing data maintenance, optimization, and profiling.
11. Experience with data integration tools (e.g., IBM, Informatica, Qlik Replicate, etc).
Additional Value
1. Experience with data workflow orchestration tools (e.g., Airflow, etc).
2. Familiarity with CI/CD practices for data pipelines.
3. Knowledge of data governance and data quality best practices.
Job summarySeeking a Data Engineer to build data pipelines, ensure data quality, and support integration. SQL, Python & cloud experience required.
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