Principal Data Engineer - Quantexa - Senior Vice President

Principal Data Engineer - Quantexa - Senior Vice President

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Job Overview

We are looking for a hands-on Principal Data Engineer who is passionate about solving business problems through innovation and engineering practices. As a Principal Data Engineer, you will leverage your deep technical knowledge to drive the creation of high-quality software products. You will also be expected to mentor other engineers, share your technical expertise, and promote a culture of technical excellence within the team. The Principal Data Engineer will report to an Engineering Manager and will be a floating member of multiple engineering teams. There is an expectation to contribute to the codebase and deliver solutions against the sprint-level commitments.

Responsibilities:

• Code contributing member of multiple Agile teams, working to deliver sprint goals.
• Demonstrating deep technical knowledge and expertise in software development, including programming languages, frameworks, and best practices. Providing guidance and mentorship to junior team members.
• Actively contributes to the implementation of critical features and complex technical solutions. Write clean, efficient, and maintainable code that meets the highest standards of quality.
• Collaborate with other Principal Engineers to define and evolve the overall system architecture and design.
• Provide guidance on scalable, robust, and efficient solutions that align with business requirements and industry best practices.
• Offer expert engineering guidance and support to multiple teams, helping them overcome technical challenges, make informed decisions, and deliver high-quality software solutions. Foster a culture of technical excellence and continuous improvement.
• Stay up to date with emerging technologies, tools, and industry trends. Evaluate their potential impact on the organization and provide recommendations for technology adoption and innovation.

Required Qualifications:

• 15+ years' experience of implementing data-intensive solutions using agile methodologies.
• Proficient in one or more programming languages commonly used in data engineering such as Python, Java, or Scala.
• Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.)
• Strong proficiency in working with relational databases and using SQL for data querying, transformation, and manipulation.
• Expertise in Quantexa Entity resolution product, Quantexa certifications will be preferred.
• Clear understanding of Data Structures and Object Oriented Principles.
• Experience of modelling data for analytical consumers
• Ability to automate and streamline the build, test and deployment of data pipelines.
• Experience with Hadoop for data storage and processing is valuable, as is exposure to modern data platforms such as Snowflake and Databricks.
• Multiple years of experience architecting and building horizontally scalable, highly available, highly resilient, and low latency applications
• Multiple years of experience with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.).
• Proven experience of providing technical vision and guidance to a data team.
• Thrives in a dynamic environment, capable of managing multiple tasks simultaneously while maintaining a high standard of work.
• BE/BTech degree or equivalent work experience.

Preferred Qualifications:

• Familiarity with open-source data engineering tools and frameworks (e.g. Spark, Kafka, Beam, Flink, Trino, Airflow, DBT) is a valuable asset
• Exposure to a range of table and file formats including Iceberg, Hive, Avro, Parquet and JSON
• Experience in cloud native technologies and patterns (AWS, Google Cloud)
• Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation, etc.)
• Experience of driving and/or influencing the data strategy of your team or organization.