Snowflake Data Architect

Job Description

*As a Brillian what your day would look like:

• You will partner closely with the clients to deliver state-of-the-art outcomes by engineering solutions.
• You will continue to expand your expertise in Data Science, Big Data, Analytics and Visualization tools/techniques daily to enable incremental innovation in on-going projects
• At all times, you will clearly articulate and communicate with a diverse set of internal and external customers with varying degrees of technical proficiency and deliver critical business and process related information to mitigate any risks or failures
• You will persistently look for opportunities to address customer needs by being a thought partner in every moment of engagement

To succeed, you d have technical experience and expertise in

1. For you to be successful, you must:

• Build partnerships within and outside the team regardless of formal authority
• Dismantle personal knowledge and empower others by mentoring and fostering an environment of growth Create value by anticipating and meeting needs of internal and external customers and delivering high-quality results and be accountable for outcomes
• Open and flexible to accommodate and implement new ideas, understand business complexities, nurture innovation and challenge the status quo persistently
• Grasp data that is available, pay attention to details and strive to be subject matter expert in chosen area of specialty through continuous learning and improvement.
• Ability to work in ambiguous situations with unstructured problems and anticipate potential issues & risks
• Excellent relationship building and organizational skills
• Provide inputs to testing strategy approach at a high level
• Conduct root cause analysis to avoid repetition of defects
• Hands on in the field of data warehousing, ETL.
• Hands on development experience in Snowflake.
• Experience in Snowflake modelling roles, schema, databases. o Experience in Integrating with third party tools, ETL, DBT tools.
• Experience in Snowflake advanced concepts like setting up resource monitors and performance tuning would be preferable.
• Applying object oriented and functional programming styles to real world Big Data Engineering problems using Java, Scala, Python.
• Develop data pipelines to perform batch and Real TimeStream analytics on structured and unstructured data.
• Data Ingress, Egress, Querying using Kafka, NiFi.
• Deep understanding of AWS S3, Lambda, EMR, Glue.
• Handling large data sets and perform data wrangling, analysis, etc., using various SQL & NoSQL database technologies, and programming languages such as Java, Scala, Python.
• Advanced SQL writing skills, strong understanding of relational and dimensional data models
• Excellent analytical, organization, prioritization and oral, written communication skills

1. You ll bring this to the table: -

• Hands on in the field of data warehousing, ETL.
• Hands on development experience in Snowflake.
• Experience in Snowflake modelling roles, schema, databases. o Experience in Integrating with third party tools, ETL, DBT tools.
• Experience in Snowflake advanced concepts like setting up resource monitors and performance tuning would be preferable.
• Applying object oriented and functional programming styles to real world Big Data Engineering problems using Java, Scala, Python.
• Develop data pipelines to perform batch and Real TimeStream analytics on structured and unstructured data.
• Data Ingress, Egress, Querying using Kafka, NiFi.
• Deep understanding of AWS S3, Lambda, EMR, Glue.
• Handling large data sets and perform data wrangling, analysis, etc., using various SQL & NoSQL database technologies, and programming languages such as Java, Scala, Python.
• Advanced SQL writing skills, strong understanding of relational and dimensional data models
• Excellent analytical, organization, prioritization and oral, written communication skills

1. It would be exceptional, if you also have this :

• Driving organization level CoE and industry solution PoC s (Retail, Telecom, SCM, etc)
• Experience creating products in data analytics space, or frameworks and reusable assets in cloud data engineering solutions.
• Experience architecting data analytics applications to comply to regulations such as GDPR, FCA, SOX, HIPAA, etc.,
• Experience in enterprise IT architecture encompassing security, infra, and applications

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Keyskills :
erwinit architectureroot cause analysisdata modelsbig dataetlwriting skillsroot causeinformaticadata sciencedata analyticsdata warehousingunixdata wranglingdata modeling