Member of Technical Staff - (Senior) Data Engineer

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Job Overview

The Member of Technical Staff - (Senior) Data Engineer at Liquid AI will be a critical contributor to our data engineering team, focusing on architecting, designing, and implementing robust data solutions. This role involves managing and optimizing data pipelines, ensuring data quality, and facilitating data-driven insights to support various business initiatives. The ideal candidate will leverage their expertise in big data technologies to enhance our data architecture and work collaboratively with cross-functional teams to drive performance improvements across our operational landscape.

Job Responsibilities

• Develop, maintain, and optimize scalable data pipelines that support analytical and operational functions.
• Collaborate with data scientists and analysts to ensure data readiness and availability for advanced analytics.
• Implement data governance and quality measures to maintain data integrity.
• Perform troubleshooting, optimization, and performance tuning of existing data processes.
• Work with cloud services to deploy and manage data storage solutions and ETL processes.
• Provide technical leadership and mentorship to junior engineers within the team.
• Stay updated with industry trends and emerging technologies to improve data engineering practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience in data engineering or a similar role.
• Proficient in programming languages such as Python, Java, or Scala.
• Strong knowledge of relational and non-relational databases (e.g., SQL, NoSQL).
• Experience with data warehousing solutions and big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Technologies & Tools

The Member of Technical Staff - (Senior) Data Engineer position at Liquid AI utilizes a range of technologies and tools essential for effective data management and analysis. These include big data platforms such as Apache Hadoop and Apache Spark, database systems like MySQL and MongoDB, cloud solutions from AWS, Azure, or Google Cloud Platform, as well as ETL tools such as Apache NiFi or Talend. Familiarity with version control systems like Git and containerization technologies like Docker is also beneficial for this role.

Ideal Candidates

Ideal candidates for the Senior Data Engineer position are those who possess a strong technical background complemented by excellent communication and collaboration skills. They should demonstrate adaptability in a constantly evolving technological landscape and exhibit a passion for data-driven decision-making. The ability to mentor and guide junior team members is essential, alongside a proactive approach to exploring innovative solutions to complex data challenges. A results-oriented mindset and a commitment to continuous improvement will further enhance the candidate's success in this position.