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Python - Bigdata Developer
Requirement Analysis, Design, Develop and Deploy project/tasks while adhering to existing SDLC standards
Provide project/task effort estimates
Provide regular project progress & Issue report
Partner with multiple teams to deliver projects
Scope and deliver various Python, Big Data solutions
Ability to design solutions independently based on high-level architecture.
Manage the technical communication between the survey vendor and internal systems
Provide L3 support on delivered projects
Adapt to changing needs, both technology and nature of projects
Design, Model, Develop & Deploy Data ingestion tasks using approved toolset
Develop automated monitoring tools using available standard tools (shell script/Python/Java/Scala etc)
Data conversion/migration in/into Bigdata platform
Job requirements and qualifications
Python, Big Data Engineer job description should contain the following requirements and qualifications:
Experience programming and/or architecting a backend language (Python, Script, Java etc).
Experience as a Big Data Engineer or similar role
Experience with Avro, Parquet, HBase, Hive, Impala, Arcadia
Experience with Data migration and Data enrichment in Hadoop space
Experience with non-relational & relational databases (Oracle, SAP, MySQL, NoSQL, Hadoop, MongoDB, etc.)
Creative and innovative approach to problem-solving
Crisp communication & Intrapersonal skill is a must
Duties & Responsibilities
Requirement Analysis, Design, Develop and Deploy project/tasks while adhering to existing SDLC standards
Provide project/task effort estimates
Provide regular project progress & Issue report
Partner with multiple teams to deliver projects
Scope and deliver various Python, Big Data solutions
Ability to design solutions independently based on high-level architecture.
Manage the technical communication between the survey vendor and internal systems
Provide L3 support on delivered projects
Adapt to changing needs, both technology and nature of projects
Design, Model, Develop & Deploy Data ingestion tasks using approved toolset
Develop automated monitoring tools using available standard tools (shell script/Python/Java/Scala etc)
Data conversion/migration in/into Bigdata platform
Job requirements and qualifications
Python, Big Data Engineer job description should contain the following requirements and qualifications:
Experience programming and/or architecting a backend language (Python, Script, Java etc).
Experience as a Big Data Engineer or similar role
Experience with Avro, Parquet, HBase, Hive, Impala, Arcadia
Experience with Data migration and Data enrichment in Hadoop space
Experience with non-relational & relational databases (Oracle, SAP, MySQL, NoSQL, Hadoop, MongoDB, etc.)
Creative and innovative approach to problem-solving
Crisp communication & Intrapersonal skill is a must
Key job details
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 36,000 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 is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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