Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Python (Programming Language)
Good to have skills : PySpark
Minimum 5 year(s) of experience is required
Educational Qualification : Mandatory 15 years Full time qualification
Summary: As a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, and utilizing Python and PySpark for data processing and analysis. Roles & Responsibilities: - Assist with the blueprint and design of the data platform components. - Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. - Utilize Python and PySpark for data processing and analysis. - Develop and maintain data pipelines and ETL processes. - Troubleshoot and optimize data platform performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Good To Have Skills: Experience with PySpark. - Experience in developing and maintaining data pipelines and ETL processes. - Strong understanding of data modeling and database design principles. - Experience with data warehousing and big data technologies. - Familiarity with cloud-based data platforms such as AWS or Azure. Additional Information: - The candidate should have a minimum of 5 years of experience in Python (Programming Language). - The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Bengaluru office.
Bengaluru
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