We are seeking a skilled Senior Data Engineer to become an integral part of our team.
In this role, you will focus on projects involving data integration and ETL for cloud-based platforms. Your tasks will include creating and executing sophisticated data solutions, ensuring the integrity, reliability, and accessibility of data.
Responsibilities
Create and execute sophisticated data solutions for cloud-based platforms
Construct 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 uphold documentation, such as technical specifications, data flow diagrams, and data mappings
Enhance data integration processes for performance and efficiency, upholding 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 like AWS Glue, Azure Data Factory, or GCP Dataflow
Strong understanding of SQL for data querying and manipulation
Background in Snowflake for data warehousing
Familiarity with cloud platforms such as AWS, GCP, or Azure for data storage and processing
Exceptional problem-solving abilities and meticulous attention to detail
Strong verbal and written communication skills in English at a B2 level
Nice to have
Background in ETL using Python
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