Jr Data Engineer

Sprout Digital Labs; Tangerang Selatan; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading company in data solutions is seeking a data specialist to manage ETL processes and databases. The role involves designing data models, ensuring data accuracy, and collaborating with data scientists. Candidates should have a strong background in programming, cloud platforms, and data visualization tools.

Qualifications

• Bachelor's degree in computer science, Information Technology, or related field.
• Proficiency in programming languages (Python, Java).
• Experience with ETL processes and tools like AWS Glue.

Responsibilities

• Create and maintain ETL processes using AWS Glue.
• Manage SQL and NoSQL databases for efficient data storage.
• Develop dashboards and reports using Tableau.

Skills

Python

Java

SQL

NoSQL

ETL

Hadoop

Spark

Data visualization

Git

Problem-solving

Communication

Attention to detail

Adaptability

Education

Bachelor's degree in computer science

Bachelor's degree in Information Technology

Bachelor's degree in a related field

Tools

AWS Glue

Amazon Redshift

Tableau

AWS

Azure

GCP

Job description

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 NoSQL) 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

Requirements

• Bachelor's degree in computer science, Information Technology, or a related field.
• Proficiency in one or more programming languages (e.g., Python, Java).
• Knowledge of databases, including SQL and NoSQL.
• 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.