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We are seeking an experienced Data Engineer with 8+ years of experience to architect, build, and maintain scalable data infrastructure and pipelines. This role is pivotal in enabling advanced analytics and data-driven decision-making across the organization.
Job Responsibility:
Design, develop, and maintain scalable and efficient data pipelines and ETL processes
Architect data solutions that support business intelligence, machine learning, and operational reporting
Collaborate with cross-functional teams to gather requirements and deliver data solutions aligned with business goals
Ensure data quality, integrity, and security across all systems and platforms
Optimize data workflows and troubleshoot performance issues
Integrate structured and unstructured data from various internal and external sources
Implement and enforce data governance policies and best practices
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
8+ years of experience in data engineering or a related discipline
Advanced proficiency in SQL and programming languages such as Python or Scala
Extensive experience with cloud platforms (AWS, Azure, or GCP)
Strong background in data warehousing technologies (e.g., Snowflake, Redshift, BigQuery)
Expertise in ETL/ELT tools and orchestration frameworks (e.g., Apache Airflow, dbt)
Nice to have:
Experience with real-time data streaming technologies (e.g., Kafka, Spark Streaming)
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
Knowledge of CI/CD pipelines and version control systems (e.g., Git)
Relevant certifications in cloud or data engineering technologies
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