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AWS Snowflake Manager

Accenture
Mountain View, California, US
$77.7K-$202.7K a year
Full-time

Read all the information about this opportunity carefully, then use the application button below to send your CV and application.

We Are :

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose : to help clients optimize and reinvent their business with data & AI backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You are :

As part of our Data & AI group, you will lead technology innovation for our clients through robust delivery of world-class solutions.

There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.

Willing to travel up to 100%

What you need :

  • Minimum of 7 years of experience in ability to relate and connect complex business issues and articulate solution using curated and / or raw data
  • Minimum of 7 years of experience with Data warehousing methodologies and modelling techniques
  • Minimum of 3 years of in-depth understanding of the Snowflake architecture, and differentiation. Need to have the understanding and the know how in using features such as Zero Copy Clone, Time Travel, User defined functions, etc.
  • Minimum of 3 years of experience in managing security in Snowflake. This includes creation of custom roles to control access to data, databases, warehouses etc.
  • Minimum of 3 years of experience in designing compute clusters (Warehouse) in Snowflake
  • Minimum of 2 years of experience in Snowpipe for handling streaming data
  • Minimum of 2 years of experience in handling semi-structured data (JSON, XML) using the VARIANT attribute in Snowflake
  • Minimum of 2 years of experience in re-clustering of the data in Snowflake with good understanding on how micro-partition works inside Snowflake
  • Minimum of 5 years of experience in creating master data datasets.
  • Minimum of 8 years of experience in working with batch and stream data
  • Expert in SQL
  • Minimum of 5 years of hands-on experience in cloud technologies such as :
  • AWS - S3, Glacier, EC2, Lambda, SQS, Redshift
  • Azure - Blob Storage, Cool Blob Storage, Virtual Machine, Functions, SQL Datawarehouse
  • GCP - Cloud Storage, Coldline Cloud Storage, Compute Engine, Cloud Functions, Big Query
  • Minimum of 5 years of experience with ELT concepts with design experience of architecting data flows into a massively parallel processing (MPP) analytical datastores
  • Minimum of 5 years of experience with ETL tools such as Informatica, Talend, Matillion

Bonus points if you have :

  • Experience with a MDM tool is preferred
  • Experience in Hadoop, Hive, HBASE, Spark is a plus
  • Experience in building generative AI accelerators is a plus

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.

As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.

Role Location :

California : $73,000 to $220,400

Colorado : $73,000 to $190,400

District of Columbia : $77,700 to $202,700

New York : $67,600 to $220,400

Maryland : $67,600 to $176,300

Washington : $77,700 to $202,700

LI-MP

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What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization.

As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed.

If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

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