Posted Jun 1, 2026
Core Responsibilities
Data Pipeline Development: Build, test, and maintain ETL/ELT (Extract, Transform, Load) pipelines to automate data flow from disparate sources to storage. - Infrastructure Management: Design, scale, and optimize data lakes, data warehouses, and database architectures. - Data Quality & Governance: Implement data validation methods and ensure high data integrity, privacy, and security. - Cross-functional Collaboration: Work closely with software engineers, data scientists, and analysts to support their data infrastructure needs. Essential Skills
Programming Languages: Proficiency in Python, SQL, or Java. - Cloud Platforms: Experience with cloud environments like AWS, Microsoft Azure, or Google Cloud Platform (GCP). - Big Data Technologies: Familiarity with distributed computing and processing tools (e.g., Apache Spark, Hadoop, Kafka). - Workflow Orchestration: Knowledge of scheduling tools like Apache Airflow. Typical Qualifications
Education: Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related quantitative field. - Experience: 2-5+ years of relevant experience in software development, data warehousing, or big data engineering
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