Data Engineer

Responsibilities

• Design, develop, and maintain large-scale data systems
• Develop and implement ETL processes using various tools and technologies
• Collaborate with cross-functional teams to design and implement data models
• Work with big data tools like Hadoop, Spark, PySpark, and Kafka
• Develop scalable and efficient data pipelines
• Troubleshoot data-related issues and optimize data systems
• Transition and upskill into Databricks & AI/ML projects

Requirements

• Relevant years of experience in data engineering
• Strong proficiency in Python, SQL, ETL, and data modeling
• Experience with one or more: Teradata, Informatica, Hadoop, Spark, PySpark, ADF, Snowflake, Big Data, Scala, or Kafka
• Cloud knowledge (AWS, Azure, or GCP) is a plus
• Willingness to learn and adapt to new technologies, specifically Databricks & AI/ML

Preferred Qualifications

• Experience with Databricks
• Knowledge of AI/ML concepts and tools
• Certification in relevant technologies

Benefits

• Competitive salary and benefits
• Opportunity to work on cutting-edge projects
• Collaborative and dynamic work environment
• Professional growth and development opportunities
• Remote work opportunities & flexible hours