Senior Data Engineer

Requirements

• Experience in identifying, streamlining, and automating repetitive or manual processes
• Proven experience as a Data Engineer, working with large-scale database systems and cloud platforms
• Expertise in building and maintaining data pipelines using tools like Apache Airflow, Talend, or Azure Data Factory
• Strong programming skills in Python, Scala, or Java for data processing and automation tasks
• Experience with data warehousing technologies such as Snowflake, Redshift, or Azure Synapse
• Proficiency in SQL for data extraction, transformation, and analysis
• Familiarity with tools such as Databricks, MLflow, or H2O.ai for integrating data engineering with AI/ML workflows
• Experience with DevOps practices and tools, such as Jenkins, GitLab CI/CD, Docker, and Kubernetes
• Knowledge of AI/ML concepts and their integration into data workflows
• Strong problem-solving skills and attention to detail

Benefits

• Comprehensive benefits package, including health, dental, and vision insurance
• Flexible work arrangements and remote work options
• Professional development opportunities and education assistance
• Diverse and inclusive work environment
• Opportunities for growth and advancement