Our organization is seeking a skilled Senior Data Engineer to become an integral part of our team.

In this role, you will focus on projects related to data integration and ETL on cloud-based platforms. You will take charge of creating and executing sophisticated data solutions, ensuring data accuracy, dependability, and accessibility.

Responsibilities

• Create and execute sophisticated data solutions on cloud-based platforms
• Build ETL processes utilizing SQL, Python, and other applicable technologies
• Maintain data accuracy, reliability, and accessibility for all stakeholders
• Work with cross-functional teams to comprehend data integration needs and specifications
• Produce and sustain documentation, including technical specifications, data flow diagrams, and data mappings
• Enhance and tune data integration processes for optimal performance and efficiency, guaranteeing data accuracy and integrity
  
  
  

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
• 5-8 years of experience in data engineering
• Proficiency in cloud-native or Spark-based ETL tools such as AWS Glue, Azure Data Factory, or GCP Dataflow
• Strong knowledge of SQL for data querying and manipulation
• Qualifications in Snowflake for data warehousing
• Familiarity with cloud platforms like AWS, GCP, or Azure for data storage and processing
• Excellent problem-solving skills and attention to detail
• Good verbal and written communication skills in English at a B2 level
  
  
  

Nice to have

• Background in ETL using Python