PURVIEW
Location
Hyderabad | India
Job description
Role: Snowflake Developer Location: Hyderabad(Onsite) Job Type: Permanent for purview Services
NOTE: Client will accept maximum notice period of 30 days or Immediate Details : Be a technical guide on data warehousing, analytics and the Snowflake product Deploy solutions such as Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities on their own Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them Work with System Integrator consultants at a deep technical level to successfully position and deploy solutions in customer environments Provide guidance on how to resolve customer-specific technical challenges Support other members of the Professional Services team develop their expertise Skills Minimum 10 years of experience working in a solution development role in the data analytics / warehousing role University degree in computer science, engineering, mathematics or related fields, or equivalent experience Strong skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools Strong skills in databases, data warehouses, and data processing Extensive hands-on expertise with SQL and SQL analytics Experience and track record of success selecting and implementing data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, etc.) Software development experience with C/C++ or Java.Scripting experience with Python, Ruby, Perl, Bash. Good to have: Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau) Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack, etc.) Experience implementing ETL pipelines using custom and packaged tools Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data pipeline Experience selling enterprise SaaS software Shown success at enterprise softwareJob tags
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