Job Title: Senior Data Engineer (Snowflake)

Duration: 6 months contract to hire

Location: Hybrid in Austin, TX 78759 (1-2 Day per week )

Job Description -

Want someone who can have experiences and opinions around best practices and core philosophies pertaining to an enterprise level data platform that involves snowflake at its core.

Must be able to bringing opinions and experiences to the table.

Not looking for someone to just implement things that have been figured out for them and spoon fed.

Designs, builds and oversees deployment and operation of AWS Cloud solutions to capture, manage, store and utilize structured and unstructured data from multiple client data sources.

Utilizing Snowflake establishes and builds data structures based on business and technical requirements to meet analysis, reporting and analytical needs across client, all while ensuring integrity of the data.

Provides Data Engineering support for areas such as Finance, Sales, Business Intelligence, Product Development and/or other business users.

Works with data consumers and Project Managers to determine logical and physical database designs for analytics models.

Creates and maintains optimal data pipeline architectures.

Ensures architectures are aligned with and support business requirements.

Ensures that required data is available, can be trusted and is readily accessible by those who need it.

Influences the data infrastructure roadmap.

Identifies, designs and implements internal data management process improvements.

Plays a key role in application development projects to evolve the companyÂÂs database architecture and design.

Works with internal and external data providers on data validation, providing feedback and making customized changes to data feeds and data mappings for analytical and operational use.

Automates manual processes, transforming them into repeatable capabilities.

Works with fellow team members to ensure design, development and execution align with and support adjacencies and adhere to established architectural standards.

What we will require from you:

BachelorÂÂs degree in Computer Science or related field plus 4 years of relevant work experience; or a Master's degree plus 2 years of relevant work experience; or a PhD plus 0-1 years of relevant experience.

In lieu of a degree, qualified candidates would require 8 years of relevant professional experience.

Excellent with SQL.

Excellent programming skills in Python and ideally demonstrating an aptitude via experience with multiple languages.

Excellent understanding of patterns for data ingest into data warehouse, ingest, cleansing, standardizing, etc., in addition to different data structures like normalized, denormalized, star.

Excellent experience supporting Snowflake Data Warehouse, including Snowpipe (including streams), tasks, transformations, views, dynamic tables. This should include advanced skills in ensuring efficient utilization of Snowflake compute and the ability to optimize workloads and warehouse.

Broad experience with Cloud PaaS capabilities, ideally AWS CloudWatch, Lambda, Step Functions, SNS/SQS, DynamoDB, etc.

Experience utilizing reporting and data insights tools.

Experience in supporting analytics teams data needs, in addition to customer and business reporting.

Target Years of Exp:

Ideally 8 in Data Engineering

Top 5 Must Haves:

Excellent with SQL.

Excellent programming skills in Python and ideally demonstrating an aptitude via experience with multiple languages.

Excellent understanding of patterns for data ingest into data warehouse, ingest, cleansing, standardizing, etc., in addition to different data structures like normalized, denormalized, star.

Excellent experience supporting Snowflake Data Warehouse, including Snowpipe (including streams), tasks, transformations, views, dynamic tables. This should include advanced skills in ensuring efficient utilization of Snowflake compute and the ability to optimize workloads and warehouse.

Broad experience with Cloud PaaS capabilities, ideally AWS CloudWatch, Lambda, Step Functions, SNS/SQS, DynamoDB, etc.