Senior Data Engineer

Job not on LinkedIn

May 1

Apply Now

Receive Emails with Similar Jobs

Aimpoint Digital

WebsiteLinkedInAll Job Openings

Artificial Intelligence • Analytics • Consulting

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.

51 - 200 employees

🤖 Artificial Intelligence

📋 Description

•Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights? •Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. •We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. •At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions. •You will: Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives •Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries •Design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs •Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications •Write code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CD •Support the deployment of data science and ML projects into production •Note: You will not be developing machine learning models or algorithms

🎯 Requirements

•Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience •Experience with managing stakeholders and collaborating with customers •Strong written and verbal communication skills required •3+ years working with relational databases and query languages •3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data •3+ years data modeling (e.g. star schema, entity-relationship) •3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages •Ability to manage an individual workstream independently •Expertise in software engineering concepts and best practices •DevOps experience preferred •Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred •Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferred •Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred •Experience working with Apache Spark preferred •Experience preparing data for analytics and following a data science workflow to drive business results preferred •Consulting experience strongly preferred •Willingness to travel