Overview
On Site
USD 110,000.00 - 130,000.00 per year
Full Time
Skills
Data architecture
Data engineering
Machine Learning (ML)
Operational efficiency
Data Science
Computer vision
Artificial intelligence
Applied mathematics
Computer science
Data warehouse
Big data
Relational databases
Software engineering
Software development
Operating systems
Cloud computing
Business intelligence
Microsoft Power BI
Data Analysis
Data governance
Unstructured data
Data
C
ELT
Productivity
Modeling
Collaboration
Evaluation
Software deployment
Analytics
Design
Analytical skill
Communication
Statistics
Apache Spark
Databricks
Database
Amazon Redshift
Snow flake schema
Python
Operations support systems
Git
Continuous integration
Continuous delivery
JIRA
Linux
Bash
Shell
Microsoft Azure
Alteryx
Tableau
SQL
Reporting
Job Details
Location: Austin, TX
Salary: $110,000.00 USD Annually - $130,000.00 USD Annually
Description: Perm salary 110-130k plus 10-15% bonus
No C2C or sponsorship at this time.
Will work in a Hybrid capacity with 2 days in the office.
Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to ELT principles and business goals.
Solves complex data problems to delivers insights that helps business achieve its goals.
Creates data products for engineer, analyst, and data scientist team members to accelerate their productivity.
Engineer effective features for modelling in close collaboration with data scientists and businesses Leads the evaluation, implementation and deployment of emerging tools and process for analytics data engineering to improve productivity and quality.
Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Fosters a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
Advises, consults, mentors, and coach other data and analytic professionals on data standards and practices.
Develops and delivers communication and education plans on analytic data engineering capabilities, standards, and processes.
Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.
MINIMUM SKILLS AND QUALIFICATION REQUIREMENTS:
Bachelor's degree in computer science, statistics, engineering, or a related field 5-10 years of experience required.
Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases. Experience in building data pipelines and deploying/maintaining them following modern DE best practices (e.g., DBT, Airflow, Spark, Python OSS Data Ecosystem)
Knowledge of Software Engineering fundamentals and software development tooling (e.g., Git, CI/CD, JIRA) and familiarity with the Linux operating system and the Bash/Z shell Experience with cloud database technologies (e.g., Azure) and developing solutions on cloud computing services and infrastructure in the data and analytics space.
Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker)
Expertise in ELT and data analysis, SQL primarily Conceptual knowledge of data and analytics, such as dimensional modelling, reporting tools, data governance, and structured and unstructured data
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Salary: $110,000.00 USD Annually - $130,000.00 USD Annually
Description: Perm salary 110-130k plus 10-15% bonus
No C2C or sponsorship at this time.
Will work in a Hybrid capacity with 2 days in the office.
Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to ELT principles and business goals.
Solves complex data problems to delivers insights that helps business achieve its goals.
Creates data products for engineer, analyst, and data scientist team members to accelerate their productivity.
Engineer effective features for modelling in close collaboration with data scientists and businesses Leads the evaluation, implementation and deployment of emerging tools and process for analytics data engineering to improve productivity and quality.
Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Fosters a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
Advises, consults, mentors, and coach other data and analytic professionals on data standards and practices.
Develops and delivers communication and education plans on analytic data engineering capabilities, standards, and processes.
Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.
MINIMUM SKILLS AND QUALIFICATION REQUIREMENTS:
Bachelor's degree in computer science, statistics, engineering, or a related field 5-10 years of experience required.
Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases. Experience in building data pipelines and deploying/maintaining them following modern DE best practices (e.g., DBT, Airflow, Spark, Python OSS Data Ecosystem)
Knowledge of Software Engineering fundamentals and software development tooling (e.g., Git, CI/CD, JIRA) and familiarity with the Linux operating system and the Bash/Z shell Experience with cloud database technologies (e.g., Azure) and developing solutions on cloud computing services and infrastructure in the data and analytics space.
Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker)
Expertise in ELT and data analysis, SQL primarily Conceptual knowledge of data and analytics, such as dimensional modelling, reporting tools, data governance, and structured and unstructured data
Contact:
This job and many more are available through The Judge Group. Please apply with us today!