Data Engineer Job Tangerang area,Banten Indonesia,IT/Tech

A Data Engineer is responsible for designing, building, and maintaining the data infrastructure and pipelines that enable an organization to collect, store, and analyze large volumes of data. They play a crucial role in ensuring data is accessible, reliable, and ready for analysis by data scientists, analysts, and other stakeholders.

Responsibilities

Create and maintain ETL (Extract, Transform, Load) processes to move data from various sources to data storage systems using tools like AWS Glue.

Manage databases (SQL and No

SQL) to ensure data is stored efficiently and securely, including working with Amazon Redshift.

Design data models and schemas for efficient data storage and retrieval.

Implement processes to ensure data accuracy and quality.

Utilize tools like Hadoop, Spark, and distributed computing to process large datasets.

Work with cloud providers like AWS, Azure, or GCP to store and process data in the cloud.

Develop dashboards and reports using visualization tools like Tableau to support data-driven decisions.

Collaborate with data scientists and analysts to understand data requirements and deliver data solutions.

Requirements

Bachelor's degree in computer science, Information Technology, or related field.

Proficiency in one or more programming languages (e.g., Python, Java).

Knowledge of databases, including SQL and No

SQL.

Experience with ETL processes and tools like AWS Glue.

Familiarity with big data technologies like Hadoop and Spark.

Cloud platform experience (e.g., AWS, Azure, GCP), including services like Amazon Redshift.

Data modeling expertise.

Experience with data visualization tools like Tableau.

Version control using tools like Git.

Problem‑solving abilities.

Strong communication skills for collaboration with team members and stakeholders.

Attention to detail to maintain data accuracy.

Adaptability to learn and use new technologies and tools.

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