Accenture
AWS Snowflake Manager
Accenture, Hartford, Connecticut, us, 06112
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.We accept applications on an on-going basis and there is no fixed deadline to apply.
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
#J-18808-Ljbffr
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.We accept applications on an on-going basis and there is no fixed deadline to apply.
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
#J-18808-Ljbffr