About this role
The team is seeking a Senior Data Engineer to join their dynamic team. This role is crucial for developing and maintaining robust data pipelines and ensuring data integrity across various platforms. The ideal candidate will have a strong background in data engineering and a passion for leveraging data to drive business decisions.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines to support analytics and reporting needs.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
- Optimize data storage and retrieval processes for performance and efficiency.
- Implement data quality checks and ensure compliance with data governance standards.
- Troubleshoot and resolve data-related issues in a timely manner.
Required Skills & Qualifications:
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data warehousing solutions like AWS Redshift, Google BigQuery, or Snowflake.
- Familiarity with ETL tools and frameworks such as Apache Airflow or Talend.
- Strong understanding of database technologies including SQL and NoSQL.
- Knowledge of cloud platforms, particularly AWS or Azure.
Experience:
- Minimum of 5 years of experience in data engineering or related field.
What we offer:
- Opportunity to work in a fast-paced, innovative environment.
- Collaborative team culture focused on professional growth.
- Exposure to cutting-edge technologies and projects.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.