Multi-year work experience as a Platform Lead, Delivery Leader or similar role.
Good working knowledge of Aws Services, Python, Pyspark, data modelling.
Knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.
Knowledge of ETL, data mining, Data Warehousing and segmentation techniques.
Knowledge of databases (Azure SQL, MSQL), data lakes (e.g., Azure Data Lake / Delta lakes), Processing tools (e.g., Databricks / HDInsight) and BI and Reporting tools (e.g., Power BI, Tableau) or similar technologies.
Experience working with advanced data management, data processing, and data science-related exploration of data to create insights that drive business decision making.
Experience working knowledge of modern infrastructure automation technology stacks and the ability to identify the best tool for the task.
Understanding of the different types of Agile principles, methodologies and frameworks, especially those designed to be scaled at the enterprise level.
Openness for knowledge transfer; willingness to coach others and help them to learn.
Excellent analytical skills and quick grasp.
Independent way of working with high proactivity.
Proven ability to work creatively and analytically in a problem-solving environment.
Excellent written, verbal, communication with the ability to articulate new ideas and concepts to technical and non-technical audiences.
Ability to communicate with customers clearly and straightforwardly.
Demonstrated ability to engage in self-directed learning activities, with an interest in continually developing and improving skills and knowledge.
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Aws Data Engineer • Pune, Maharashtra, India
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