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Senior Data and Analytics Engineer
VelirSenior Data and Analytics Engineer at Velir transforming client data into actionable insights. Bridging data engineering and analytics engineering for business decision support.
Tech Stack
Tools & technologiesAirflowApacheAWSAzureCloudETLKafkaPythonSparkSQLUnity
About the role
Key responsibilities & impact- Play a crucial role in helping client organizations transform raw data into reliable, well-modeled assets that drive business decisions.
- Bridge data engineering and analytics engineering — combining infrastructure-building strengths of a data engineer with transformation, modeling, and semantic layer expertise of an analytics engineer.
- Responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform.
- Collaborate with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs.
- Ensure that data engineering and analytics engineering projects are delivered on time, within scope, and within budget.
Requirements
What you’ll need- Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role with a focus on designing and developing data pipelines and transformation layers
- Strong programming skills in Python and SQL
- Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows
- Strong proficiency with dbt for data transformation, testing, and documentation
- Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development
- Deep knowledge of data warehousing and ELT/ETL processes
- Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory)
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus
- Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required
- Familiarity with MLOps techniques and platforms is a plus but not required
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus
Benefits
Comp & perks- Competitive pay
- Excellent benefits
- Opportunities for professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLDatabricksDelta LakeUnity Catalogdbtdata modelingdata warehousingELTETL
Soft Skills
analytical skillsproblem-solving skillscommunication skillscollaboration skills