Classplus Hiring Drive 2024: Classplus Hiring Drive 2024 for its Data Engineer. Classplus Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree. if you are interested, please apply as soon as possible.
Company Name: Classplus
Role: Data Engineer
Location: Noida
Experience: 1+ years
Qualification: Bachelor’s degree
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Classplus Hiring Drive 2024
Job Description:
- We are a revolutionary B2B Ed-Tech startup based out of Noida, India.
- We help educators and content creators embark on their digital teaching journeys by providing them with a platform that empowers them to seamlessly transition online, offering live classes, storage solutions, transaction features, content monetization, and much more – all in one super app
Requirements:
- Have spent some time here: 1+ years of work experience in Software Engineering and development.
- Know your Game: Strong understanding of Python & pandas library as well as experience with the big data technologies like Spark, BigQuery, DataProc, Dataflow is good to have.
- Are a Social Charmer: Strong analytical and communication skills.
- Experience working with large, disconnected, and/or unstructured datasets.
- Are ‘The Architect’: Experience building and optimizing data pipelines, architectures, and data sets using cloud-native technologies.
Responsibility:
- Work with state-of-the-art data frameworks and technologies like Dataproc (Apache Spark & Hadoop), Apache Airflow, and others.
- Coordinate cross-functionally with various teams, creating solutions that deal with large volumes of data.
- Spearhead the setting and maintaining of standards and development practices.
- Enforce quality and continuous improvement.
- Modernize the current data systems to develop Cloud-enabled Data and Analytics solutions
- Drive the development of cloud-based data lake, hybrid data warehouses & business intelligence platforms
- Improve upon the data ingestion models, ETL jobs, and alerts to maintain data integrity and data availability
- Build Data Pipelines to ingest structured and Unstructured Data.
- Gain hands-on experience with new data platforms and programming languages
- Analyze and provide data-supported recommendations to improve product performance and customer acquisition
- Design, Build and Support resilient production-grade applications and web services
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