Senior Data Engineer 2024

What you will doDo 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 WillBecome a trusted advisor working together with our clients, from data owners and analytic users to C-level executivesWork independently as part of a small team to solve complex data engineering use-cases across a variety of industriesDesign and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobsWork with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certificationsWrite code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CDSupport the deployment of data science and ML projects into productionNote: You will not be developing machine learning models or algorithmsWho You AreWe are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.Minimum Requirements:Degree educated in Computer Science, Engineering, Mathematics, or equivalent experienceExperience with managing stakeholders and collaborating with customersStrong written and verbal communication skills required3+ years working with relational databases and query languages3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data3+ years data modeling (e.g. star schema, entity-relationship)3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languagesAbility to manage an individual workstream independentlyExpertise in software engineering concepts and best practicesDevOps experience preferredExperience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferredExperience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferredExperience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferredExperience working with Apache Spark preferredExperience preparing data for analytics and following a data science workflow to drive business results preferredConsulting experience strongly preferredWillingness to travelThis position is fully remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.

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