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About the role
Key Skills: Technical Skills: Proficiency with Data bricks Lakehouse platform, Delta Lake, Genie, ML Flow (e.g., Data bricks Certified Data Engineer Associate) is a plus.SQL and NoSQL: Experienced working with both SQL and NoSQL data sources (e.g., MySQL, PostgreSQL, MongoDB etc.)Strong knowledge of Spark, especially in PySpark or Scala, for data transformation.Proficiency in Python, R and other programming languages used in data processing.Experience with cloud platforms like Azure, AWS, particularly Azure storage & servicesKnowledge of ML Pipelines, data streaming platforms (e.g., Apache Kafka, AWS Kinesis).Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)Educational Qualification: Education: Bachelors degree in Computer Science, Engineering/MCA, or a related field (Masters preferred)3+ years of experience as a Data Engineer, with hands-on experience in Databricks Key Skills: Technical Skills: Proficiency with Data bricks Lakehouse platform, Delta Lake, Genie, ML Flow (e.g., Data bricks Certified Data Engineer Associate) is a plus.SQL and NoSQL: Experienced working with both SQL and NoSQL data sources (e.g., MySQL, PostgreSQL, MongoDB etc.)Strong knowledge of Spark, especially in PySpark or Scala, for data transformation.Proficiency in Python, R and other programming languages used in data processing.Experience with cloud platforms like Azure, AWS, particularly Azure storage & servicesKnowledge of ML Pipelines, data streaming platforms (e.g., Apache Kafka, AWS Kinesis).Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)Educational Qualification: Education: Bachelors degree in Computer Science, Engineering/MCA, or a related field (Masters preferred)3+ years of experience as a Data Engineer, with hands-on experience in Databricks
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