Senior Data Engineer

2 days ago

Batam Riau Islands Indonesia Glints Full time $40,000 - $80,000 per year


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.

If you are passionate about data engineering and looking to contribute to a dynamic and growing team, apply now


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