JOB DESCRIPTION
Skill: Big Data
Role: T2, T1
Are
you passionate about solving business issues with new technology? Ready to put
your well-rounded (engineering/developer/architecture)
skills to use? We at Virtusa would like to meet you!
Key
responsibility:
The Full-Stack Data Infrastructure Engineer will be an “agent of
delivery,” who builds and executes integration opportunities that will enable
an Ops-AI platform build-out.
The successful candidate will possess strong foundational big data
engineering as well as some data science skills, as well as an ability to
develop strategic solutions through programing languages and database
management systems. They must be able to take a holistic view of a business
problem or challenge, and work with various technical groups to get the
information necessary to develop changes through to production.
Duties
·
Shape the development of data lake to data science pipeline
infrastructure solutions and integration
·
Identify, evaluate and implement services and tools to support
data validation and meta data management
·
Manipulate, analyze and interpret complex data sets relating to
bespoke data pipelines and flows
·
Mine and analyze large datasets and existing pipelines to optimize
for performance and scalability
·
Liaise with internal clients to fully understand data content and
recommend best practices
·
Gather, understand and document detailed business requirements
using appropriate tools and techniques
·
Create data dashboards, graphs and visualizations to oversee and
maintain bespoke pipelines
Skills & Experience Required
Leadership
·
At least 6 years’ professional experience as a software developer,
including leading projects and teams
·
Experience in multi-disciplinary teams, with an end-to-end view of
systems and processes
·
Minimum of 1years Experience leading with agile development
methodologies like XP, Kanban or Scrum.
·
Can take the lead with new initiatives and can act a mentor to
team members
·
3-5 years’ experience Building technical plans with a confirmed
background in architecture with real-world experience of architecting,
designing, and delivering large IT projects
Data Engineering & Integration
·
At least 6 years
hands-on experience working in a large
process-driven organization in a technical engineering role
·
Extensive experience writing code to process high volume, high
throughput data pipelines in Java, Scala or Python
·
Experience in Data Architecture and Information Architecture
·
Deep experience on a variety of big data technologies specially in
Spark and in Hadoop ecosystem and other no-sql data stores like Cassandra,
HBase, Mongodb, etc.
·
Experience on in high volume pub sub tools like Kafka.
·
Experience of data analysis and data processing using Java,
Python, R, KSQL, CQL, Airflow, Bash, Jupyter Notebooks
·
Strong understanding of RESTful APIs and / or data streaming
·
Experience of version control (Git, Bitbucket)
·
Experience of Data visualization tools, e.g. Matplotlib, Seaborn,
ggplot2, Birst, Tableau, Qlik, Grafana
·
Familiar with Agile working practices and methodologies
·
Solid grasp of basic networking technologies such as HTTP and DNS
Analysis & Design
·
Experience of working with large and complex datasets for the
purposes of analysis, and delivering analytics solutions
·
Experience of creating analytics dashboards or reports
·
Ability to translate business requirements into technical
requirements, and determine appropriate technical solutions
·
Requirements & Problem solving
·
Experience of producing documentation/specifications for technical
solutions
·
Keen to learn and continually develop skillset, collaborate and
express ideas to make improvements
·
Demonstrates a passion for using data to solve problems and
deliver value
·
Strong problem-solving skills and ability to logically analyze
complex requirements, processes and systems
About Virtusa
Teamwork,
quality of life, professional and personal development: values that Virtusa is
proud to embody. When you join us, you join a team of 21,000 people globally
that cares about your growth — one that seeks to provide you with exciting
projects, opportunities and work with state of the art technologies throughout
your career with us.
Great
minds, great potential: it all comes together at Virtusa. We value
collaboration and the team environment of our company, and seek to provide
great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa
was founded on principles of equal opportunity for all, and so does not
discriminate on the basis of race, religion, color, sex, gender identity, sexual
orientation, age, non-disqualifying physical or mental disability, national
origin, veteran status or any other basis covered by appropriate law. All
employment is decided on the basis of qualifications, merit, and business need.
JOB DESCRIPTION
Skill: Big Data
Role: T2, T1
Are
you passionate about solving business issues with new technology? Ready to put
your well-rounded (engineering/developer/architecture)
skills to use? We at Virtusa would like to meet you!
Key
responsibility:
The Full-Stack Data Infrastructure Engineer will be an “agent of
delivery,” who builds and executes integration opportunities that will enable
an Ops-AI platform build-out.
The successful candidate will possess strong foundational big data
engineering as well as some data science skills, as well as an ability to
develop strategic solutions through programing languages and database
management systems. They must be able to take a holistic view of a business
problem or challenge, and work with various technical groups to get the
information necessary to develop changes through to production.
Duties
·
Shape the development of data lake to data science pipeline
infrastructure solutions and integration
·
Identify, evaluate and implement services and tools to support
data validation and meta data management
·
Manipulate, analyze and interpret complex data sets relating to
bespoke data pipelines and flows
·
Mine and analyze large datasets and existing pipelines to optimize
for performance and scalability
·
Liaise with internal clients to fully understand data content and
recommend best practices
·
Gather, understand and document detailed business requirements
using appropriate tools and techniques
·
Create data dashboards, graphs and visualizations to oversee and
maintain bespoke pipelines
Skills & Experience Required
Leadership
·
At least 6 years’ professional experience as a software developer,
including leading projects and teams
·
Experience in multi-disciplinary teams, with an end-to-end view of
systems and processes
·
Minimum of 1years Experience leading with agile development
methodologies like XP, Kanban or Scrum.
·
Can take the lead with new initiatives and can act a mentor to
team members
·
3-5 years’ experience Building technical plans with a confirmed
background in architecture with real-world experience of architecting,
designing, and delivering large IT projects
Data Engineering & Integration
·
At least 6 years
hands-on experience working in a large
process-driven organization in a technical engineering role
·
Extensive experience writing code to process high volume, high
throughput data pipelines in Java, Scala or Python
·
Experience in Data Architecture and Information Architecture
·
Deep experience on a variety of big data technologies specially in
Spark and in Hadoop ecosystem and other no-sql data stores like Cassandra,
HBase, Mongodb, etc.
·
Experience on in high volume pub sub tools like Kafka.
·
Experience of data analysis and data processing using Java,
Python, R, KSQL, CQL, Airflow, Bash, Jupyter Notebooks
·
Strong understanding of RESTful APIs and / or data streaming
·
Experience of version control (Git, Bitbucket)
·
Experience of Data visualization tools, e.g. Matplotlib, Seaborn,
ggplot2, Birst, Tableau, Qlik, Grafana
·
Familiar with Agile working practices and methodologies
·
Solid grasp of basic networking technologies such as HTTP and DNS
Analysis & Design
·
Experience of working with large and complex datasets for the
purposes of analysis, and delivering analytics solutions
·
Experience of creating analytics dashboards or reports
·
Ability to translate business requirements into technical
requirements, and determine appropriate technical solutions
·
Requirements & Problem solving
·
Experience of producing documentation/specifications for technical
solutions
·
Keen to learn and continually develop skillset, collaborate and
express ideas to make improvements
·
Demonstrates a passion for using data to solve problems and
deliver value
·
Strong problem-solving skills and ability to logically analyze
complex requirements, processes and systems
About Virtusa
Teamwork,
quality of life, professional and personal development: values that Virtusa is
proud to embody. When you join us, you join a team of 21,000 people globally
that cares about your growth — one that seeks to provide you with exciting
projects, opportunities and work with state of the art technologies throughout
your career with us.
Great
minds, great potential: it all comes together at Virtusa. We value
collaboration and the team environment of our company, and seek to provide
great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa
was founded on principles of equal opportunity for all, and so does not
discriminate on the basis of race, religion, color, sex, gender identity, sexual
orientation, age, non-disqualifying physical or mental disability, national
origin, veteran status or any other basis covered by appropriate law. All
employment is decided on the basis of qualifications, merit, and business need.