Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.
Machine Learning β’ Artifical Intelligence β’ Tableau β’ Cloud β’ Data Architecture
51 - 200 employees
π€ Artificial Intelligence
October 30, 2024
Amazon Redshift
Apache
AWS
Azure
Cloud
Docker
ETL
Google Cloud Platform
Informatica
Java
Kubernetes
Matillion
Python
Scala
Spark
SQL
Go
Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.
Machine Learning β’ Artifical Intelligence β’ Tableau β’ Cloud β’ Data Architecture
51 - 200 employees
π€ Artificial Intelligence
β’ Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. β’ Work alongside innovative software providers in data engineering space. β’ Solve tough business problems for clients. β’ Become a trusted advisor for clients across various industries. β’ Work independently as part of a small team.
β’ Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience β’ Experience with managing stakeholders and collaborating with customers β’ Strong written and verbal communication skills required β’ 3+ years working with relational databases and query languages β’ 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data β’ 3+ years data modeling (e.g. star schema, entity-relationship) β’ 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages β’ Ability to manage an individual workstream independently β’ Expertise in software engineering concepts and best practices β’ DevOps experience preferred β’ Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred β’ Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferred β’ Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred β’ Experience working with Apache Spark preferred β’ Experience preparing data for analytics and following a data science workflow to drive business results preferred β’ Consulting experience strongly preferred β’ Willingness to travel
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