Job Functions1. Data Engineering2. Business Problem Solving3. Analytical Solutions Design4. Cloud Data Warehousing5. ETL/ELT Pipelines
Job Requirements1. Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience2. Experience managing stakeholders and collaborating with customers3. 3+ years working with relational databases and query languages4. 3+ years building data pipelines in production and ability to work across structured, semistructured and unstructured data5. 3+ years data modeling (e.g. star schema, entityrelationship)6. Ability to write clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages7. Expertise in software engineering concepts and best practices8. DevOps experience preferred9. Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred10. Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferred11. Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred12. Experience preparing data for analytics and following a data science workflow to drive business results preferred
Skills1. SQL, Python, Spark2. Snowflake, Databricks, Fivetran, dbt3. Git and CI/CD4. Relational databases and query languages5. Software engineering concepts and best practices6. DevOps experience7. Cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)8. Cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.)9. Cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes)1. Strong written and verbal communication skills2. Passionate about contributing to a growing team and establishing best practices3. Selfstarter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better4. Ability to manage an individual workstream independently5. Willingness to travel
What you will do
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
Who you are: We 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.
- 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
Life at Aimpoint Digital
Aimpoint Digital is a premier data and analytics consulting and solutions development firm that is based in the US and UK. We excel at being the trusted advisor for companies looking to extract tangible value from data, and develop into analytics-driven organizations. Our deep industry, technical, and analytic expertise has enabled us to construct an extensive client roster across multiple industries; From early-stage startups to Fortune 500 companies, our solutions are tailored based upon our clients' specific data/analytic needs and transformational aspirations. We pride ourselves in executing an approach that combines expert advice with actionable results and integrity. To learn more, visit aimpointdigital.com.
Thrive Here & What We Value1. Fully remote data and analytics consultancy2. Dynamic team of talented and motivated people who deeply understand business problems and enjoy solving them3. Blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions4. Willingness to travel5. Collaborative team environment6. Passionate about solving business problems7. Emphasis on establishing best practices8. Opportunity for growth within the company9. Fully remote position within the United Kingdom10. Focus on delivery excellence and driving high performance
