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Data Engineer

PT.Japfa Comfeed IndonesiaDaerah Khusus Ibukota Jakarta, Jawa, Indonesia

30+ hari yang lalu

Uraian Tugas

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Responsibilities

Design, build, and maintain scalable and reliable data pipelines.
Integrate data from various sources, including APIs, relational databases, and NoSQL databases.
Ensure data availability and quality across data warehouse, data lake, and lakehouse environments.
Optimize ETL / ELT processes and data pipelines for maximum performance and efficiency.
Ensure data replication processes between systems or environments run correctly and efficiently.
Collaborate with data analysts and data scientists to deliver clean, usable data and actionable insights.
Communicate effectively with principals and external stakeholders in English, particularly for system integration, troubleshooting, and technical documentation.
Maintain data security and ensure compliance with company policies and standards.

Requirements

Proven experience as a Data Engineer, Data Analyst, or in a related role.

Proficient in both spoken and written English (required for communication with international partners).

Strong understanding of APIs (REST, SOAP, or GraphQL).

Proficient in SQL and at least one programming language, preferably Python.

Solid knowledge of relational databases (e.g., PostgreSQL, MySQL) and / or NoSQL databases (e.g., MongoDB, Redis).

Familiar with Big Data concepts and tools such as Hadoop, Spark, or Kafka.

Experience with cloud platforms (AWS, GCP, Azure), particularly in data-related services such as BigQuery, Redshift, or Snowflake.

Understanding of data warehouse, data lake, and lakehouse architectures.

Experience managing or monitoring data replication between systems or environments.

Capable of performing data maintenance, optimization, and profiling.

Experience with data integration tools (e.g., IBM, Informatica, Qlik Replicate, etc).

Additional Value

Experience with data workflow orchestration tools (e.g., Airflow, etc).

Familiarity with CI / CD practices for data pipelines.

Knowledge of data governance and data quality best practices.

Job summary : Seeking a Data Engineer to build data pipelines, ensure data quality, and support integration. SQL, Python & cloud experience required.

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology

Industries

Food and Beverage Manufacturing

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