Senior Data Engineer

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Aimpoint Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

💼 Consulting

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.

📋 Description

• 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

🎯 Requirements

• Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience • 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 • Strong written and verbal communication skills required • 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.

🏖️ Benefits

• Remote work within Colombia • Opportunity to work from the office in Medellin, COL • Professional development opportunities