As a Sr Data Engineer, this role will be responsible with design and implementation of data engineering platforms and solutions that meet product and business requirements.
The ideal candidate will have hands-on data engineering background working on data warehousing and implementing scalable ELT pipelines solutions utilizing modern data technologies.
Responsibilities
- Design, develop, automate and harden all data workflows.
- Incorporate core data management competencies adhering to Data Architecture guidelines around data governance, modeling, quality and security.
- Develop data transformation code with emphasis on test harness to deliver high quality data solutions.
- Perform data and system analysis to resolve complex defects and incidents with RCA.
- Stay current with emerging data technologies and industry best practices to maintain competitive advantage.
Qualifications
- At least 5 years of hands-on experience as a data engineer working with data warehousing and ELT pipelines.
- Strong SQL skills including schema design, query optimization and schema evolution.
- Experience with scripting or programming language, preferably Python.
- Experience with cloud platforms (AWS Redshift, Snowflake, GCP BigQuery) and their data service offerings is a plus.
- Knowledgeable of virtualization technologies, and their use and execution.
- Experience leveraging modern data technologies like Trino, Kafka, Airflow, dbt, data orchestration tools and data lake technologies.
- Experience with design and implementation of large-scale data transformation initiatives.
- Bachelor’s degree in computer science, Engineering, or a related technical field (or equivalent work experience).
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