Staff Data Engineer

November 14

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Velir

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eCommerce • Marketing • Technology

Velir is a platform that provides innovative solutions for engaging audiences through URL shortening, QR code generation, and mobile-friendly landing pages. With a focus on creating customized digital experiences, Velir helps businesses connect with their customers by offering comprehensive tracking and analytics for all types of digital interactions. The platform is designed to meet the diverse needs of various industries, allowing brands to efficiently manage their digital connections in a unified way.

201 - 500 employees

Founded 2000

🛍️ eCommerce

📋 Description

• Data Engineering Leadership: You are responsible for bridging technical gaps to lead and oversee various data engineering projects for our data solutions engagements. • Cross-Team Collaboration: You are responsible for contributing to alignment across the organization through influence and by translating context across different teams. • Project Enablement: You are responsible for ensuring that large and/or more complex engineering projects are delivered in alignment with the appropriate business outcomes.

🎯 Requirements

• Proven experience as a Data Engineer or related role, with a focus on designing and developing data pipelines. • Strong programming skills in Python and SQL. Experience with Scala and Rust is a plus but not required. • Deep knowledge of data warehousing and ETL/ELT processes. • Intermediate / expert proficiency with common data integration / orchestration platforms (e.g., Fivetran, Azure Data Factory, Apache Airflow) • Deep experience with at least one cloud data warehouse (Snowflake, BigQuery, Databricks, or similar). • Experience with streaming solutions such as Spark Streaming, Kafka, or Flink is desirable but not required. • Strong experience with at least one cloud platform such as AWS, Azure, or Google Cloud. • Understanding deprecated big-data frameworks such as Apache Pig is occasionally useful for interpreting older data flows, though this skill is not required in our current environment • Familiarity with machine learning operations (MLOps) techniques and platforms is a plus but not required. • Experience mentoring and advising other engineers • Ability to define, explain, and sell long-term vision for technical architecture, technical approaches / procedures, etc. • Excellent communication and collaboration skills.

🏖️ Benefits

• Competitive pay • Excellent benefits