- Build and maintain realtime and batch data pipelines across the advanced analytics platform.
- Design, develop and orchestrate highly robust and scalable ETL pipelines.
- Design and implement Dimensional and NoSQL data modelling as per the business requirements.
- Develop highly optimal codebase and perform Spark optimizations for Big Data use cases.
- Design, develop and deploy optimal monitoring and testing strategy for the data products.
- Collaborate with stakeholders and advanced analytics business partners to understand business needs and translate requirements into scalable data engineering solutions.
- Collaborate with data scientists to prepare data for model development and production.
- Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports.
- Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies.
- 4+ years of professional experience
- Natural sense of urgency, teamwork, and collaboration reflected in daily work ethic.
- Expert in Spark or Databricks, Cloud Data Engineering Services preferably Azure, Streaming frameworks like Event Hubs or Kafka.
- Proficient in Microsoft Office.
- Familiarity with modern Machine Learning Operationalization techniques.
- Agile methodologies.
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AppSierra Solutions - Hyderabad, India - AppSierra Solutions Pvt Ltd
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