Data Engineer/Senior Engineer - ETL/Data Warehousing

As a Data Engineer at our company, you will play a crucial role in designing, building, and maintaining scalable, reliable, and efficient data pipelines to support data analytics and business intelligence needs. Your responsibilities will include: - Designing, building, and maintaining data pipelines to support data analytics and business intelligence needs. - Optimizing and automating data workflows to enhance efficiency and reduce latency. - Implementing and maintaining data storage solutions to ensure data organization, security, and accessibility. - Providing expertise in ETL processes, data wrangling, and data transformation techniques. - Collaborating with technology teams to align data engineering solutions with overall business goals. Qualifications Required: - Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or related field. - Experience with Agile methodologies and software development projects. - Proven experience in data engineering, with expertise in 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. - Good to have familiarity with big data technologies and real-time data processing. - Strong understanding of database management systems and data modeling techniques. - Experience with BI tools like Tableau, Power BI, ETL tools like Alteryx, or similar, and ability to work closely with analytics teams. - 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 within a complex, fast-paced environment. Please note that the company's additional details were not provided in the job description.,