Sr. Data Engineer

Highly Competitive Salary
  1. Permanent
  2. Manufacturing, Design, Operations Management
  3. United States
Mountain View, USA
Posting date: 16 Jul 2020
EN.LR.30633

Proclinical is currently recruiting for a Senior Data Engineer with a global AI healthcare provider located in Mountain View, CA. As the Sr. Data Engineer, you will be a member of a small, agile team fairly early in its data-engineering journey and have a tremendous opportunity to make a big impact.

Job Responsibilities:

  • Design and build data infrastructure with efficiency, reliability and consistency to meet rapidly growing data needs.
  • Design data pipelines and data integrations to collect, clean and store large datasets (streaming and batch).
  • Maintain the privacy of our users and partners by helping ensure best practices in security and data handling continue as we grow.
  • Help establish and maintain a high-level of operational excellence in data engineering
  • Collaborate with teams across the company to help develop data products that drive company success.
  • Evaluate, integrate, and build tools to accelerate Data Engineering, Data Science, Business Intelligence, Reporting and Analytics as needed.
  • Drive data literacy across business functions.

Skills and Requirements:

  • 4+ years data engineering or equivalent knowledge and ability.
  • 7+ years software engineering or equivalent knowledge and ability.
  • Advanced SQL skills.
  • Expertise in Spark (or Storm/Flink/MapReduce/Impala/Hive).
  • In-depth knowledge of AWS (including EMR, DMS, Athena, RDS, Aurora, Lambda, Redshift, etc.)
  • Expertise in stream data processing (e.g., DMS, Flink, Spark, Kinesis, Kafka).
  • Strong proficiency in two of the following programming languages: Python, Scala, and Java.
  • Demonstrated expertise in Object Oriented and/or Functional programming including a solid grasp of common design patterns, idioms, and design.
  • Fluency in data structures, algorithms, distributed computing, storage systems, and assorted consistency models.
  • Familiarity with pandas, SciPy, scikit-learn, seaborn, SparkML.
  • A love of data and a desire to help people use data effectively in a startup environment.
  • Knowledge of multiple database technologies, their tradeoffs, and how to make the best use of each.
  • Willingness to learn and mentor in a collaborative team environment.
  • Humility with an intrinsic positive drive.
  • Passion for developing a world-class engineering culture.
  • Value, respect, and an enthusiasm for diversity, inclusion, and alternative perspectives.
  • Goal-oriented, with a desire to create an environment of psychological safety.
  • Willingness to ask questions and the ability to break down a problem to its smallest parts.
  • Effective communication (oral and written!) across a range of audiences.
  • Ability to thrive in an environment promoting and enabling collaboration.

If you are having difficulty in applying or if you have any questions, please contact Lewis Rooney at (+1) 415-481-3817 or l.rooney@proclinical.com

Proclinical is a specialist employment agency and recruitment business, providing job opportunities within major pharmaceutical, biopharmaceutical, biotechnology and medical device companies.

Proclinical Staffing is an equal opportunity employer.

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