Data Engineer

Job Description

Job Title: Data Engineer Job Highlights/Benefits: If you get excited about a work/life balance, enjoy working with data and collaborate with people who are creative, motivated, and fun JOIN US! We are building a new global data engineering team to support the companys various digital initiatives and data projects. This position plays a crucial role in developing the companys data analytics capabilities. Job Description: Plan, implement and maintain the company’s data platform and solutions. Design, build and automate modern data pipelines and data streams. Develop and maintain data models and schemas that facilitate data integration and analysis. Implement effective metrics, monitor, and proactively optimize ETL/ELT process performances, troubleshoot issues, and implement improvements to enhance data process efficiency in the data lifecycle. Collaborate with data analysts, data stewards and business stakeholders to understand their data requirements and translate them into technical specifications. Ensure data quality and accuracy by performing data profiling, data cleansing, and data validation. Evaluate the performance and applicability of data tools against user requirements. Perform related duties as assigned, within the scope of practice (e.g., data quality and data education programs). Requirements: Degree holder in Computer Science, Information Technology, or relevant disciplines. At least three years of experience in data engineering. Proficiency level of SQL is a must. Hands on experience in Azure Databricks or Synapse. Hands on experience in programming languages for data engineering (e.g., PySpark, Python, R, Java, Scala). Experience in designing and deploying data applications on cloud solutions, such as Azure. Possess excellent problem-solving skills and data-driven thinking capabilities. Ability to work independently and as a member of a team, self-motivated. Good communication in both written and spoken English. Willingness to travel, as needed. The requirements below are considered as advantages, but not required. Certified Azure Data Engineer Associate. Knowledge of Azure Data Factory, Azure Data Lake, Azure Event Hub, or Power BI. Hands on experience in performance tuning and optimizing code running in Azure Databricks or Synapse environment. Experience in preparing data for data science and machine learning. Experience in DataOps. Experience in working in a global team.