Data Engineer

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Role Overview: Work Dynamics APAC is seeking a skilled Data Engineer to join our team. The main responsibility of this role is to prepare and organize data for Business Intelligence (BI) developers, acting as a foundation layer to build BI solutions and provide valuable insights to support senior executive reviews of the business. The ideal candidate will have 4-5 years of experience working in SQL Server, Azure, and Databricks environments, with a strong understanding of data engineering principles.

Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines to ingest, transform, and store data from various sources for BI purposes.
• Collaborate with cross-functional teams to gather data requirements and ensure data quality, accuracy, and consistency.
• Work closely with BI Analysts to understand their data needs and design optimal data models and structures.
• Develop and implement ETL/ELT processes to extract, transform, and load data from disparate sources into data warehouses or data lakes.
• Optimize and maintain existing data pipelines, including performance tuning and troubleshooting.
• Develop and enforce data engineering best practices, standards, and guidelines.
• Collaborate with IT and data governance teams to ensure compliance with data security and privacy regulations.
• Continuously evaluate and recommend new technologies and tools to improve data engineering processes and performance.
• Create and maintain documentation for data pipelines, data models, and workflows.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4-5 years of professional experience as a data engineer, preferably in a SQL Server, Azure, and Databricks environment.
• Strong proficiency in SQL and experience with data modeling and database design principles.
• Experience in designing and building ETL/ELT processes, data pipelines, and workflows.
• Familiarity with big data processing tools such as Databricks, Spark, or Azure.
• Proficiency in scripting languages (e.g., Python, Scala) for data transformation and processing.
• Solid understanding of data governance, data quality, and data security principles.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Experience in the real estate industry or related fields is a plus.

If you are a motivated and experienced Databricks Data Engineer looking to contribute to the creation of impactful BI solutions that drive senior executive decision-making, we would love to hear from you.

Location:

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

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