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Data Engineer
Sally BeautyData Engineer developing and maintaining cloud-based data solutions. Collaborating with senior engineers, architects, and business partners for analytics and machine learning initiatives.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in developing and maintaining ETL/ELT data pipelines using Data Bricks, Apache Spark, and SQL, with a strong foundation in data transformation and quality assurance. Demonstrates analytical problem-solving skills and the ability to collaborate effectively in Agile environments.
Highest-signal resume keywords
ETL/ELT Data Pipeline DevelopmentData BricksApache SparkSQLPySpark
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data TransformationData ValidationData CleansingData Quality AssuranceTechnical Documentation
Soft Skills
Analytical SkillsProblem-Solving SkillsCollaboration
Tools & Technologies
Delta LakeMedallion ArchitectureCloud StorageGitAgile Methodologies
Industry Keywords
Data EngineeringCloud ComputingBusiness IntelligenceData GovernanceData Security
Tech Stack
Tools & technologiesApacheCloudETLJavaPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Develop and maintain ETL/ELT data pipelines using Data Bricks, Apache Spark, and SQL.
- Assist with building and supporting Delta Lake tables and Medallion Architecture (Bronze, Silver, Gold).
- Develop data transformations using PySpark and SQL.
- Support ingestion of data from enterprise applications, APIs, databases, and cloud storage.
- Perform data validation, cleansing, and quality assurance activities.
- Monitor data pipelines and troubleshoot processing issues.
- Create and maintain technical documentation for data processes and workflows.
- Assist with implementing data governance, security, and data quality standards.
- Support reporting, analytics, and business intelligence initiatives.
- Participate in Agile planning, sprint reviews, and team meetings.
- Collaborate with senior engineers to implement scalable and reliable data solutions.
- Continuously learn new technologies and data engineering best practices.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, or a related technical field.
- 0–2 years of experience in data engineering, software development, analytics, or related technical experience.
- Internship, co-op, research, or academic project experience in data engineering, cloud computing, or software development preferred.
- Basic knowledge of SQL and relational databases.
- Basic programming experience with Python or Java.
- Exposure to Data Bricks, Apache Spark, cloud platforms, or data engineering concepts through coursework, internships, or personal projects preferred.
- Familiarity with Git or other version control systems is a plus.
- Strong analytical and problem-solving skills.
- Ability to learn new technologies quickly and work effectively in a collaborative environment.
Benefits
Comp & perks- medical
- dental
- vision
- life Insurance
- paid vacation and sick days
- paid holidays
- tuition reimbursement
- 401(k) with company match
- in-house salon with complementary services
- varied selection of food options at our corporate campus
- merchandise discount