Data Engineer (PySpark, Database, Python)
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Key skills for this role
Key Skills for This Role
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Primary Skills PySpark, Database, SQL, Python, Secondary Skill Starburst
ETL Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio Apache Spark Talend and Information Big Data Experience of big data platforms such as Hadoop, Hive or Snowflake for data storage and process Data Warehousing & Database Management Expertise around Data Warehousing concepts, Relational Oracle, MSSQL, MySQL and NoSQL MongoDBDynamoDB database design Data Modeling & Design Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Proficient in one or more programming languages commonly used in data engineering such as Python,Java DevOps Exposure to concepts and enablers - CI/CD platforms, version control,automated quality control management Data Governance A strong grasp of principles and practice including data quality, security, privacy and compliance
ETL Hands on experience of building data pipelines.
Proficiency in two or more data integration platforms such as Ab Initio Apache Spark Talend and Information
Big Data Experience of big data platforms such as Hadoop, Hive or Snowflake for data storage and process
Data Warehousing & Database Management : Expertise around Data Warehousing concepts, Relational Oracle, MSSQL, MySQL and NoSQL MongoDBDynamoDB database design
Data Modeling & Design : Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Proficient in one or more programming languages commonly used in data engineering such as Python,Java
DevOps : Exposure to concepts and enablers - CI/CD platforms, version control,automated quality control management
Data Governance: A strong grasp of principles and practice including data quality, security, privacy and compliance
About Virtusa
Global provider of digital engineering and IT outsourcing services.
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