
Data Engineering Lead
11 hours ago
We are seeking a highly skilled Data Engineering Lead to join our team. As a key member of our engineering team, you will be responsible for leading data engineering projects and driving innovation in our analytics capabilities.
Key Responsibilities- Lead data engineering projects that foster collaboration across the company to derive insights from diverse data sources.
- Develop scalable and extensible data architectural patterns and ETL processes to accommodate our growing user base.
- Contribute to a robust culture of code review and maintain high standards in coding practices.
- Manage resources efficiently in an Azure or AWS environment using tools like Terraform.
- Bachelor's degree in computer science or equivalent with at least 3 years of professional experience as a Data Engineer or similar role.
- Proficient in distributed processing frameworks like Databricks/Spark, stream processing, and event-driven technologies such as Kafka, including REST and Python APIs.
- Have expertise in Python, Spark, including Spark SQL, DataFrames, Spark Streaming, RDD caching, Spark MLib, and the ability to write, debug, and optimize Spark code.
- Skilled in using Terraform for infrastructure as code.
- A strong DataOps mindset and opinions on innovative warehousing tools and ETL processes.
- Experience in working with cloud platforms such as Azure and AWS.
- Excellent problem-solving and analytical skills.
- Superior written and verbal communication skills in English, capable of translating complex technical topics into clear and concise terms.
- A passion for engineering excellence and tolerance for ambiguity in a fast-paced, startup setting.
- Experience in schema design and data modeling with a focus on creating elegant and intuitive datasets.
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