If You are interested pls follow the below link and take the screen test: https://apply.framewise.ai/?id=JiHCbq∁_id=sebonetechnologies.com
As a Data Engineer with more than 6 years of experience, your role will involve building and managing data processing pipelines for analytics usage. You will be responsible for the following key tasks: - 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 advancements in data persistence and big data technologies, and conducting pilots to design data architecture that can scale with the increasing data sets from consumer experience. - Automating tasks wherever possible. - Reviewing and ensuring the quality of the deliverables. Qualifications required for this role include: - At least 6 years of experience as a Data Engineer. - Proficiency in building and managing data processing pipelines for analytics. - Strong understanding of ETL processes and data transformation. - Ability to adapt to new technologies and methodologies in the field of big data. - Attention to detail and commitment to delivering high-quality work. If there are any additional details about the company provided in the job description, please provide that information as well.,
As a Data Engineer with more than 6 years of experience in building and managing data processing pipelines for analytics usage, you will be responsible for the following: - 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 improve data accuracy, stability, and pipeline performance. - Staying up-to-date with advances in data persistence and big data technologies to design scalable data architectures for increasing data sets. - Automating tasks wherever applicable. - Reviewing and ensuring the quality of deliverables. Qualifications Required: - At least 6 years of experience as a Data Engineer. - Proficiency in building and managing data processing pipelines for analytics. - Strong understanding of ETL processes and data transformation. - Knowledge of data persistence and big data technologies. - Ability to automate tasks and ensure data quality. Please note that there are no additional details about the company provided in the job description.,
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