Data Engineer/Senior Engineer - ETL/Data Warehousing

As a Data Engineer, your role involves designing, building, and maintaining scalable, reliable, and efficient data pipelines to support data analytics and business intelligence needs. You will be responsible for optimizing and automating data workflows to enhance data processing efficiency and reduce latency. Additionally, you will implement and maintain data storage solutions to ensure data organization, security, and accessibility. Your expertise in ETL processes, data wrangling, and data transformation techniques will be crucial in this role. Collaboration with technology teams is essential to align data engineering solutions with overall business goals. Key Responsibilities: - Design, build, and maintain scalable data pipelines for data analytics and business intelligence needs. - Optimize and automate data workflows to enhance data processing efficiency. - Implement and maintain data storage solutions for secure and accessible data. - Provide expertise in ETL processes, data wrangling, and data transformation techniques. - Collaborate with technology teams to align data engineering solutions with business goals. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field. - Experience with Agile methodologies and software development projects. - Proven experience in data engineering, including building and managing data pipelines, ETL processes, and data warehousing. - Proficiency in SQL, Python, and other programming languages commonly used in data engineering. - Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with cloud-based data storage and processing tools. - Familiarity with big data technologies (e.g., Hadoop, Spark) and real-time data processing. - Strong understanding of database management systems and data modeling techniques. - Experience with BI tools like Tableau, Power BI, and ETL tools like Alteryx, or similar. - High attention to detail, commitment to data quality and accuracy. - Ability to work independently and as part of a team, with strong collaboration skills. - Highly adaptive and comfortable working in a complex, fast-paced environment. This job description was sourced from hirist.tech.,