Report this job

---

What is the problem? *

Incorrect company
Incorrect location
Job is expired
Job may be a scam
Other

Primary Skills
Data Warehousing, DataStream, ETL Fundamentals, data modeling , data engineering, ETL design, Python, Snowpipe, SnowSQL, SQL, SQL (Basic + Advanced), Time Travel and Fail Safe

Secondary Skills
Informatica PC, Tableau, Snowflake

Specialization
Snowflake Engineering: Associate Director, Data Engineering

As a consultant within the DAE team, you will work with our clients to define their digital strategy and execution roadmap, and design and implement differentiated digital solutions to help deliver measurable value.

Your responsibilities in this role will include:
Demonstrated ability to have successfully completed multiple, complex technical projects and create high-level design and architecture of the solution, including class, sequence, and deployment infrastructure diagrams
Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on-going projects
Experience with gathering end user requirements and writing technical documentation
Time management and multitasking skills to effectively meet deadlines under time-to-market pressure
Suggest innovative solutions based on new technologies and latest trends to sales team
Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution
Work closely with sales team and clients to understand their business, capture requirements, identify pain areas, accordingly, propose an ideal solution and win business

Key Competencies:
Must have total 12 yrs. in IT and 3 years' experience working as a snowflake Data Architect and 8 years in Data warehouse, ETL, BI projects
Must have experience at least two end-to-end implementation of Snowflake cloud data warehouse
Expertise in Snowflake data modelling, ELT using Snowflake SQL, implementing complex stored procedures and standard DWH and ETL concepts
Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, zero copy clone, time travel and understand how to use these features
Expertise in deploying Snowflake features such as data sharing, events, and lake-house patterns
Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python
Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
Deep understanding of relational as well as NoSQL data stores, methods, and approaches (star and snowflake, dimensional modelling)
Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
Experience with data security and data access controls and design
Experience with Azure data storage and management technologies such as ADLS
Build processes supporting data transformation, data structures, metadata, dependency and workload management
Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
Must have expertise in Azure Platform as a Service (PAAS)
Certified Snowflake cloud data warehouse Architect (Desirable)
Should be able to troubleshoot problems across infrastructure, platform, and application domains
Must have experience of Agile development methodologies
Strong written and communication skills
Effective and persuasive in both written and oral communication

Nice to have skills:
Architect level certification from AWS / Azure / GCP
Experience being part of Snowflake Practice/COE
Data Science / AI ML implementation experience