Data Scientist

Keylent Inc

Data ScientistDesign, develop, optimize, and maintain Cloud Data Platform (Azure) pipelines that adhere to ETL principles and business goals. Experience with dimensional modelling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data to solve complex data problems. Experience working on large production SAP/NoSQL clusters on premise or using Cloud services. Technical design and development activities for implementation of large-scale data solutions in Snowflake to support multiple use cases as part of modern and unified data platform. Experience developing and maintaining conceptual, logical, and physical data models, implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms in cloud. Experience with tools like Azure Data Factory, Databricks, Integration Runtime Services. Extensive hands-on expertise in SQL, SQL Analytics, T-SQL, Python or Scala, experience working on performance tuning and optimizations for data loads and SQL execution. Strong communication and interpersonal skills. Strong analytical and problem-solving skills and passion for product development. Strong understanding of Agile methodologies and open to working in agile environments with multiple stakeholders.

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Vacancy posted 3 days ago

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