ETL Data Engineer

Job Description

Description We are seeking a highly motivated ETL Data Engineer to join our dynamic data team. In this role, you will play a pivotal part in our data pipeline initiatives, where your expertise in ETL processes will be essential for transforming raw data into actionable insights. You will work closely with data analysts, data scientists, and other stakeholders to understand their data requirements and ensure that data is made accessible in a meaningful way. Your proficiency in designing and implementing robust ETL solutions will enable the organization to maintain high data quality and availability, facilitating key business decisions. About As an ETL Data Engineer, you will leverage your technical skills to develop data workflows, optimize data transformation processes, and troubleshoot data issues as they arise. You will also be responsible for ensuring compliance with data governance policies while utilizing best practices in data engineering. If you are passionate about data management and enjoy working in a fast-paced, collaborative environment, this opportunity is perfect for you to contribute significantly to our data initiatives and to grow your career within our : Design and develop ETL processes to facilitate data extraction, transformation, and loading from various sources. Collaborate with data analysts and business stakeholders to understand data requirements and translate them into technical specifications. Ensure data quality and integrity through monitoring and validation of ETL processes and workflows. Optimize performance of existing ETL workflows and data pipelines to improve efficiency and reduce processing time. Implement data governance practices to maintain compliance with industry regulations and internal policies. Maintain and support ETL tools and frameworks, ensuring systems are running smoothly and efficiently. Document data processes and standards, providing training and support to team members as : Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as an ETL Data Engineer or similar role in data engineering. Strong proficiency in ETL tools such as Apache NiFi, Talend, Informatica, or similar technologies. Experience with databases such as SQL Server, Oracle, MySQL, or PostgreSQL and knowledge of SQL scripting. Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data warehousing solutions. Understanding of data modeling concepts and experience with data architecture. Ability to work collaboratively in a team environment and communicate effectively with both technical and non-technical stakeholders. (ref:hirist.tech)