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Senior Data Analytics Engineer
Telefónica TechSenior Data Analytics Engineer responsible for designing and building analytics data products. Leading a small engineering team and collaborating with stakeholders for data-driven solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building data ingestion pipelines, leveraging Python and PySpark for data analytics engineering. Proven ability to lead and mentor engineering teams while collaborating with stakeholders to evolve semantic models.
Highest-signal resume keywords
Data Ingestion Pipeline DevelopmentPython ProficiencyPySpark ProficiencyDatabricks ExperienceAzure Data Factory Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data Analytics EngineeringData Transformation OptimizationAnalytical SkillsProblem-Solving Skills
Soft Skills
LeadershipMentoringStakeholder Communication
Tools & Technologies
DatabricksAzure Data Factory
Industry Keywords
Data IngestionSemantic Models
Tech Stack
Tools & technologiesAzurePySparkPython
About the role
Key responsibilities & impact- Design and build ingestion pipelines across various sources
- Partner with data product owners to evolve semantic models
- Facilitate requirements-gathering conversations with stakeholders
- Lead and mentor a small engineering team
Requirements
What you’ll need- Senior experience in data analytics engineering
- Proficiency in Python and PySpark
- Experience with Databricks and Azure Data Factory
- Ability to build data ingestion pipelines and optimize data transformations
- Strong analytical and problem-solving skills
Benefits
Comp & perks- Flexible working arrangements
- Professional development opportunities