Aws Databricks
2 weeks ago
Must have 7plus years of experience total IT experience in Data engineering DW area
Must have 3plus yrs of exposure on AWS ecosystem specifically DataBricks, Redshift Lambda Glue Starbust
Minimum 5 yrs of technical expertise with data models data mining and segmentation techniques
Expert on programming languages SQL Python Pyspark
Must be good at creating software and data pipelines that enable the ingestion transformation and transfer of large quantities of structured and unstructured research data from filesystems sources
Must be able to design and build database logic to automatically fetch and store data in various forms
Must be good at building processes supporting data transformation data structures metadata dependency and workload management
Must be able to identify design and implement internal process improvements automating manual processes, optimizing data delivery re designing infrastructure for greater scalability etc
Expert on data manipulation, processing and extracting value from large disconnected datasets
Excellent hands on experience on SQL database design
Working knowledge of message queuing stream processing and highly scalable big data data stores
Good to have hands on RAG Architecture
Good communication skills to interact with clients playing an onshore lead role
Should be comfortable to work in Agile methodology
AWS Data & Analytics Certification will be added advantage
**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 30,000 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.
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