Key skills
PythonJavaSQLETL pipelinesCloud computingData modelingAgile methodologyData governanceUnit testingEnglish fluencyETLKafkaAirflowUnit TestingAWSGCPEC2LambdaS3Cloud StoragePerformance OptimizationAgileCI/CD
About this role
Lumenalta is a company that helps global enterprises launch digital products with real-world impact. They are seeking a Senior Data Engineer to design, build, and maintain ETL pipelines while ensuring data quality and collaborating with various teams.
Responsibilities:
- Join the team as a senior-level Data Engineer with strong ownership of data pipelines and architecture
- Design, build, and maintain reliable ETL pipelines from the ground up
- Work with large, complex datasets using Python or Java and advanced SQL
- Build scalable and efficient data flows and transformations across multiple systems
- Partner with data analysts, product managers, and engineers to deliver high-quality, actionable data
- Ensure data quality, consistency, performance, and reliability across the data platform
Requirements:
- 7+ years of experience as a Data Engineer
- Strong skills in Python or Java for data processing
- Proficient in SQL, especially for querying large datasets
- Experience with batch and/or stream data processing pipelines
- Familiarity with cloud-based storage and compute (e.g., AWS S3, EC2, Lambda, GCP Cloud Storage, etc.)
- Knowledge of data modeling, normalization, and performance optimization
- Comfortable working in agile, collaborative, and fully remote environments
- Fluent in English (spoken and written)
- Experience with Airflow, Kafka, or similar orchestration/message tools
- Exposure to basic data governance or privacy standards
- Unit testing and CI/CD pipelines for data workflows