Data Engineer

Responsibilities

• Conduct comprehensive audits of existing data infrastructure to assess efficiency and scalability
• Identify performance bottlenecks and implement optimization strategies
• Re-design and modernize data pipelines for greater scalability and reduced latency
• Design, build, and maintain robust ETL/ELT processes to ingest data from various sources
• Establish and maintain a centralized, reliable source of truth for all key business data
• Implement rigorous data quality checks and validation processes
• Work closely with data scientists and analysts to understand and meet data requirements

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field
• 3-5 years of hands-on experience in a data engineering role
• Advanced proficiency in Python
• Expertise in writing complex, highly-optimized SQL queries
• Experience with major cloud platforms (AWS, GCP, or Azure)
• Hands-on experience with big data tools like Apache Spark, Hadoop, or Kafka
• Experience with modern data warehousing solutions like Snowflake, Redshift, or BigQuery

Preferred Qualifications

• Master's degree in a relevant technical field
• Professional certifications in cloud technologies
• Experience with data orchestration tools such as Airflow or Prefect
• Familiarity with containerization technologies like Docker and Kubernetes
• Solid understanding of data modeling principles

About the Company

We provide a competitive salary and benefits package, a flexible work environment, and a culture that fosters innovation and professional growth.