Senior Data Engineer

1 month ago

Toronto ON, Canada Prodigy Labs Full time

Data Engineer with Databricks & Spark ExperienceWe are looking for a data engineer who has strong experience in building scalable and reliable data pipelines using Databricks and Spark. You will be working with various data sources and formats, and transforming them into valuable insights for our business.ResponsibilitiesDesign, develop, and maintain data pipelines using Databricks and Spark, and other cloud technologies as neededOptimize data pipelines for performance, scalability, and reliabilityEnsure data quality and integrity throughout the data lifecycleCollaborate with data scientists, analysts, and other stakeholders to understand and meet their data needsTroubleshoot and resolve data-related issues, and provide root cause analysis and recommendationsDocument data pipeline specifications, requirements, and enhancements, and communicate them effectively to the team and managementCreate new data validation methods and data analysis tools, and share best practices and learnings with the data engineering communityImplement ETL processes and data warehouse solutions, and ensure compliance with data governance and security policiesQualificationsBachelor’s degree in Computer Science, Engineering, or related field, or equivalent work experience5+ years of experience in data engineering with Databricks and SparkProficient in SQL and Python, and familiar with Java or ScalaExperience with cloud platforms, such as Azure or AWSExperience with big data technologies, such as Kafka, Hadoop, Hive, etc.Experience with data warehouse and data lake concepts and architecturesExperience with data integration and ETL tools, such as Azure Data Factory or TalendExperience with data visualization and reporting tools, such as Power BI or TableauStrong analytical and problem-solving skillsExcellent communication and teamwork skills

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