Senior Data Engineer

Glints; Batam; On-site; IDR 15,000,000 - 25,000,000; Full time

Job summary

Glints is seeking a Senior Data Engineer for our client in Batam, Indonesia. You will design and build scalable data infrastructure, ensure data integrity, and optimize workflows in cloud environments to support business objectives.

Responsibilities include ETL pipeline development, advanced SQL, Python automation, and collaboration with cross-functional teams to translate data needs into robust solutions. Prior experience with cloud data solutions and databases is required.

Qualifications

• Bachelor's degree in IT, Computer Science, or a related field.
• Min. 5 years of experience in Data Engineering, SQL, or a related field; advanced SQL.
• Strong programming skills in Python for data processing and automation.
• Proven experience designing and implementing ETL pipelines in cloud environments.
• Expertise with databases such as SQL Server, PostgreSQL, Oracle, etc.
• Deep understanding of data modeling concepts and best practices.
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
• Excellent problem-solving skills with high attention to detail; strong collaboration abilities.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines and data processing systems.
• Write complex SQL queries for data extraction, manipulation, and reporting.
• Work with cross-functional teams to understand data requirements and deliver solutions.
• Optimize and automate data workflows using Python and related tools.
• Implement and manage cloud-based data solutions ensuring robust pipelines.
• Collaborate with stakeholders to translate business needs into technical requirements.

Skills

SQL

Python

ETL pipelines

Data modeling

CI/CD

Git

Cloud data solutions

Data integrity

Education

Bachelor's degree in IT/CS or related field

Tools

SQL Server

PostgreSQL

Oracle

Azure Data Factory

Azure Databricks

Data Lake

Job description

We are seeking a highly skilled and experienced Senior Data Engineer to join our client's team in Batam, Indonesia. You will play a critical role in designing and building data infrastructure, ensuring data integrity, and optimizing workflows in cloud environments to support business objectives.

Key Responsibilities:

• Design, develop, and maintain scalable ETL pipelines and data processing systems.
• Write complex SQL queries for data extraction, manipulation, and reporting.
• Work closely with cross-functional teams to understand data requirements and deliver efficient solutions.
• Optimize and automate data workflows using Python and other relevant tools.
• Implement and manage cloud-based data solutions, ensuring robust data pipelines and integration processes.
• Collaborate with stakeholders to understand business needs and translate them into technical requirements.

Key Qualifications:

• Bachelor's degree in IT, Computer Science, or a related field.
• Min. 5 years of experience in Data Engineering, SQL, or a related field.
  Advanced proficiency in SQL for writing complex queries and optimizing data operations.
• Strong programming skills in Python for data processing and automation.
• Proven experience designing and implementing ETL pipelines in cloud environments.
• Expertise with databases such as SQL Server, PostgreSQL, Oracle, etc.
• Deep understanding of data modeling concepts and best practices.
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
• Excellent problem-solving skills with high attention to detail.
• Strong communication and interpersonal skills to collaborate with technical and non-technical teams.

Nice to have:

• Experience working with big data tools (e.g., Spark, Hadoop).
• Knowledge of containerization technologies (Docker, Kubernetes).
• Familiarity with machine learning frameworks and data science tools.
• Experience with Azure Cloud Services, such as Azure Data Factory,
• Azure Databricks, Azure SQL Database, and Data Lake.