Job Description
This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.
Written by AI from the job title and company, not by RemoteWorker CA, so some details may not match this job. The employer's own page has the real description.
Job Overview
The Sr Lead Data Platform Engineer, Shopping at RemoteWorker CA is responsible for architecting and developing robust data solutions that enable the organization to efficiently analyze shopping behavior and trends. This role involves leading a team of engineers, collaborating with cross-functional teams, and driving the adoption of data-driven practices within the shopping domain. The successful candidate will leverage their expertise in data engineering and platform design to optimize our shopping data ecosystem, ensuring high-quality data availability and facilitating analytics and reporting capabilities.
Job Responsibilities
- Design and implement scalable data pipelines and storage solutions to support shopping analytics.
- Lead a team of data engineers in developing data models and ETL processes.
- Collaborate with product managers and data scientists to understand data requirements and translate them into technical specifications.
- Ensure data quality and integrity in all data processes and systems.
- Develop and enforce best practices for data governance, security, and compliance.
- Monitor and optimize system performance for data ingestion and retrieval.
- Stay current with industry trends and emerging technologies related to data engineering and analytics.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree is a plus.
- Minimum of 8 years of experience in data engineering or related roles.
- Proven experience with data modeling, ETL processes, and data warehousing solutions.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Experience with data platforms such as AWS, Google Cloud, or Azure.
- Familiarity with database technologies including SQL and NoSQL.
- Excellent communication skills and ability to work collaboratively in a team environment.
Technologies & Tools
The Sr Lead Data Platform Engineer will utilize a range of technologies and tools including but not limited to: AWS, Google Cloud Platform, Hadoop, Apache Spark, Apache Kafka, SQL databases (PostgreSQL, MySQL), NoSQL databases (MongoDB, Cassandra), and visualization tools like Tableau or Looker. Familiarity with CI/CD tools for continuous integration and deployment is also essential.
Ideal Candidates
The ideal candidate for this position possesses a strong analytical mindset paired with exceptional problem-solving skills. They are proactive and adaptable, with the ability to thrive in a fast-paced and dynamic environment. A collaborative approach with a passion for mentoring and guiding less experienced team members is crucial. Candidates should exhibit a continuous improvement mindset, demonstrating their commitment to enhancing data infrastructure and processes. Moreover, an enthusiasm for staying ahead of industry trends and innovations in data and analytics will set the candidate apart.
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