Senior Data Engineer

Summary

Join Aimpoint Digital as a Senior Data Engineer, where you will work independently on client engagements, develop our practice, aid in business development, and contribute innovative ideas and initiatives.

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

Responsibilities

• 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

Preferred Qualifications

• 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