Senior Analytics Developer (ETL and BI)

As a Data Engineer with more than 6 years of experience in building and managing data processing pipelines for analytics usage, your role will involve the following key responsibilities: - Ability to understand the business use case and translate it into technical data requirements. - Building data pipelines that can clean, transform, and aggregate data from disparate sources. - Maintaining and re-engineering existing ETL processes to enhance data accuracy, stability, and pipeline performance. - Keeping abreast of advances in data persistence and big data technologies, and conducting pilots to design data architecture that can scale with the growing data sets of consumer experience. - Automating tasks wherever possible. - Reviewing and ensuring the quality of deliverables. In addition to the above, you are expected to possess the following qualifications and skills: - More than 6 years of experience as a Data Engineer with a focus on building and managing data processing pipelines for analytics. - Strong understanding of data engineering principles and best practices. - Proficiency in data cleaning, transformation, and aggregation techniques. - Experience in maintaining and enhancing ETL processes. - Familiarity with the latest advancements in data persistence and big data technologies. - Ability to automate tasks and streamline processes. - Attention to detail and a commitment to delivering high-quality work. Please note that the company did not provide any additional details in the job description.,