Senior Data Engineer

شرح موقعیت

Core Design, build, and maintain robust ETL/ELT pipelines. Develop and optimize data ingestion, transformation, and processing workflows. Ensure data reliability, performance, and scalability. Implement data quality, validation, and monitoring within pipelines. Support analytics, BI, and AI/ML use cases with trusted datasets. Technical Skills: Strong expertise in SQL and performance tuning. Proficiency in Python, Spark, or Scala. Hands-on experience with Data Warehouses, Data Lakes, Lakehouse architectures. Hand-on experience with Cloud platforms (AWS, Azure, or GCP). Experience with orchestration tools (Airflow, Azure Data Factory, Dagster). Experience with streaming / real-time data (Kafka, event-driven pipelines). Familiarity with CI/CD, Git, and DevOps practices. Data Architecture & Integration: Ability to work closely with Data Architects to implement target architectures. Experience integrating data from APIs, databases, files, and SaaS platforms. Understanding of data modeling and analytics-ready schemas. Data Governance & Security: Awareness of data governance, data quality, and metadata practices. Experience implementing data access controls and security. Understanding of privacy and compliance requirements. Leadership & Collaboration: Acts as a technical lead on data engineering initiatives. Mentors junior data engineers and reviews code. Strong collaboration with product, analytics, and business teams. Experience: 5+ years of experience in data engineering, data platforms, or analytics engineering. Proven experience building and operating scalable, production-grade data pipelines. Experience working in complex, multi-source enterprise environments. Education & Certifications: Bachelor’s degree in computer science, Engineering, or related field. Cloud or data engineering certifications are a plus.