Company:
Virtusa
Location: Tampa
Closing Date: 09/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Description
8 years experience of implementing data intensive solutions using agile methodologies
Proficient in programming languages commonly used in data engineering such as Scala Spark Python and Java
Experience of building data processing pipelines for use in production hands off batch systems including either or preferably both traditional ETL pipelines and/or analytics pipelines
Strong coding experience in the likes of Scala Java or Python
Enthusiasm to learn and develop emerging technologies and techniques
Must have strong SQL and RDBMS Data model skills
Demonstrating deep technical knowledge and expertise in software development including programming languages frameworks and best practices Providing guidance and mentorship to junior team members
Actively contribute to the implementation of critical features and complex technical solutions Write clean efficient and maintainable code that meets the highest standards of quality
Write defensive fault tolerant and efficient code for data processing
Provide guidance on scalable robust and efficient solutions that align with business requirements and industry best practices.
Use emerging and open-source technologies such as Spark Hadoop and Scala
Quantexa Certified Data Engineer
Collaborate on scalability issues involving access to massive amounts of data and information
Take on ad hoc tasks as required
Quantexa Certified Data Engineer
Familiarity with open-source data engineering tools and frameworks eg Spark Kafka Trino is a valuable asset
Exposure to a range of table and file formats including Hive Parquet and JSON
Experience in cloud native technologies and patterns AWS Google Cloud
Experience of driving and or influencing the data strategy of your team or organization
Banking domain Domain knowledge
8 years experience of implementing data intensive solutions using agile methodologies
Proficient in programming languages commonly used in data engineering such as Scala Spark Python and Java
Experience of building data processing pipelines for use in production hands off batch systems including either or preferably both traditional ETL pipelines and/or analytics pipelines
Strong coding experience in the likes of Scala Java or Python
Enthusiasm to learn and develop emerging technologies and techniques
Must have strong SQL and RDBMS Data model skills
Demonstrating deep technical knowledge and expertise in software development including programming languages frameworks and best practices Providing guidance and mentorship to junior team members
Actively contribute to the implementation of critical features and complex technical solutions Write clean efficient and maintainable code that meets the highest standards of quality
Write defensive fault tolerant and efficient code for data processing
Provide guidance on scalable robust and efficient solutions that align with business requirements and industry best practices.
Use emerging and open-source technologies such as Spark Hadoop and Scala
Quantexa Certified Data Engineer
Collaborate on scalability issues involving access to massive amounts of data and information
Take on ad hoc tasks as required
Quantexa Certified Data Engineer
Familiarity with open-source data engineering tools and frameworks eg Spark Kafka Trino is a valuable asset
Exposure to a range of table and file formats including Hive Parquet and JSON
Experience in cloud native technologies and patterns AWS Google Cloud
Experience of driving and or influencing the data strategy of your team or organization
Banking domain Domain knowledge
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