Virtusa Recognized as Global Leader in Gen AI Services by ISG Provider Lens® - Read report
Job description
Snowflake data engineers will be responsible for architecting and implementing very large-scale data intelligence solutions around Snowflake Data Warehouse. Experience in design patterns for data lake and data warehouse snowflake experience in API real time solutioning experience A solid experience and understanding of architecting designing and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse is a must. Need to have professional knowledge of Teradata. Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflakes Snow SQL Writing SQL queries against Snowflake and stored procedures. Developing scripts Unix Python etc. to do Extract Load and Transform data Working knowledge of Teradata MsSQLServer Provide production support for Data Warehouse issues such data load problems transformation translation problems Translate requirements for BI and Reporting to Database design and reporting design. Understanding data transformation and translation requirements and which tools to leverage to get the job done Understanding data pipelines and modern ways of automating data pipeline using cloud-based Testing and clearly document implementations so others can easily understand the requirements implementation and test conditions. Basic Qualifications Minimum 2 year of designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse. 3 to 4 years of hands-on experience with building productionized data ingestion and processing pipelines using Java Spark Scala Python and AWS Services. Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies Excellent presentation and communication skills both written and verbal Ability to problem solve and architect in an environment with unclear requirements. Required Skills Minimum 4 year of experience in architecting large scale data solutions performing architectural assessments crafting architectural options and analysis finalizing preferred solution alternative working with IT and Business stakeholders Experience building data ingestion pipeline using data streaming technology like Kafka Informatica Experience in working with AWS Azure and Google data services
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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 27,000 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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