Member of Technical Staff - (Senior) Data Engineer

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Written by AI from the job title and company, not by Liquid AI, so some details may not match this job. The employer's own page has the real description.

Overview

As a Member of Technical Staff in the capacity of a Senior Data Engineer at Liquid AI, the successful candidate will play a pivotal role in shaping our data infrastructure and processes. This position involves designing, constructing, and maintaining large-scale data systems, while ensuring that data flows seamlessly through various channels. You will collaborate closely with data scientists, analysts, and other engineers to develop solutions that support critical business objectives and enhance our data ecosystem.

Job Responsibilities

• Design and implement scalable data pipelines and data warehousing solutions.
• Collaborate with cross-functional teams to understand and convert business requirements into technical specifications.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Monitor and optimize performance of data systems and processes.
• Write and maintain documentation related to data architecture, processes, and operational practices.
• Participate in data governance efforts to maintain compliance and best practices.
• Provide mentorship and support to junior engineers and team members.
• Stay current with industry trends and emerging technologies in data engineering.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• 5+ years of experience in data engineering or a related field.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with data storage technologies (e.g., SQL and NoSQL databases).
• Familiarity with data processing frameworks (e.g., Apache Spark, Apache Beam).
• Experience with ETL tools and workflows (e.g., Apache Airflow).
• Knowledge of cloud platforms (e.g., AWS, GCP, or Azure) and their data services.
• Excellent problem-solving and analytical skills.

Technologies & Tools

In this position, you will utilize a variety of technologies and tools essential for effective data management and engineering. These include relational and non-relational database systems such as MySQL, PostgreSQL, and MongoDB; data processing engines like Apache Spark; ETL frameworks, including Apache NiFi and Airflow; cloud services from AWS and GCP; alongside programming languages such as Python and Java for scripting and data manipulation.

Ideal Candidates

The ideal candidate for this role is someone who possesses a strong analytical mindset and is highly detail-oriented. They should demonstrate an ability to work effectively in a collaborative team environment and exhibit excellent communication skills. A proactive approach to problem-solving, coupled with a passion for data and continuous improvement, will set candidates apart. Additionally, the willingness to mentor and share knowledge with peers is essential for fostering a positive team dynamic.