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Data Engineer
Suntech Innovation. Build and operate batch and streaming data pipelines for structured and unstructured data .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating data pipelines using Kafka, Spark on Databricks, and Airflow, with a strong focus on data modeling and optimization for production systems. Proficient in Python and SQL, with a solid understanding of data engineering principles and collaboration with data scientists and engineers.
Highest-signal resume keywords
Data Pipeline DevelopmentKafka and Stream ProcessingPython and PySparkDatabricks ExperienceSQL and Data Modeling
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 EngineeringSoftware EngineeringPythonPySparkSQLData ModelingKafkaSparkAirflowRelational Database Skills
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
DatabricksKafkaAirflow
Industry Keywords
Data PipelinesBatch ProcessingStreaming DataData ContractsFraud DetectionRecommendationsPersonalizationGenAI Systems
Tech Stack
Tools & technologiesAirflowKafkaPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Build and operate batch and streaming data pipelines for structured and unstructured data
- Work primarily with Kafka, Spark on Databricks, and Airflow
- Model and optimize data for experimentation and production serving
- Partner with data scientists and backend engineers on data contracts and reliability
- Own pipeline quality, including testing, monitoring, and performance
- Participate in the team's on-call rotation for the pipelines built and operated
- Turn data-scientist experimentation into robust, production-grade systems
- Support fraud detection, recommendations, personalization, and GenAI systems
Requirements
What you’ll need- 3+ years of data engineering or software engineering for data
- Strong Python, including PySpark
- Kafka and stream processing
- Databricks experience
- Airflow or similar orchestration tools
- Strong SQL and data modeling, plus solid relational database skills
- Software engineering mindset
- Fluent spoken English (at least Upper-Intermediate)
Benefits
Comp & perks- Flexibility through hybrid and remote working
- Continuous self-improvement and growth, including budget for certifications and courses
- Competitive salary plus financial bonuses
- Medical insurance coverage
- Company prepaid AI agent
- Wellbeing package: online-yoga classes, Yakaboo, BetterMe App: Health Coaching, BetterMe App: Mental Health
- Corporate events and fun team-building activities