Data Engineer

4 tygodni temu

Warszawa, Mazovia, Polska Balyasny Asset Management L.P. Pełny etat

Data Engineer - Core Data

At Balyasny Asset Management L.P., we are seeking a highly skilled Data Engineer to join our dedicated core data engineering team. As a key contributor, you will be responsible for developing and owning standard data engineering patterns that our data engineers, analysts, scientists, and quantitative researchers depend on for ingesting and transforming data throughout our ecosystem.

The ideal candidate will have a passion for designing high-quality resilient data architectures, experience with complex data ingest and onboarding architectures, and a deep understanding of engineering best practices and the data engineering technology ecosystem.

Responsibilities of the Data Engineer – Data Platform include:

  • Devising and developing solutions that capitalize on cloud-based data and distributed computing technologies to create BAM's next-gen data quality platform.
  • Contribute thought-leadership through the full software development lifecycle from requirements gathering, through architecture, prototyping, development rollout and support.
  • Partnering with end-users and collaborating with team members to clarify and expand upon requirements, as well as providing first-class support and guidance on best practices.
  • Employing creativity and lateral thinking to engineer high-performance solutions for observing, measuring and alerting on data quality issues.
  • Working within a globally-distributed yet tightly-knit engineering team, actively contributing to feature brainstorming, technical design discussions, code reviews, and overall team engagement.
  • Producing software that is comprehensible, thoroughly commented, rigorously tested, and meticulously documented.

QUALIFICATIONS AND REQUIREMENTS:

  • A degree in Computer Science or a closely related field.
  • Over 5 years of professional data and software engineering experience.
  • A fervent desire to build robust systems.
  • Profound knowledge of engineering best practices and the data engineering technology ecosystem.
  • Experience with complex data ingest and onboarding architectures, and experience in building complex distributed batch and streaming data processing systems.
  • Advanced knowledge of data orchestration and data warehouse systems. Airflow, dbt, redshift, snowflake are a plus.
  • Advanced knowledge of SQL and experience working with a variety of different SQL systems.
  • Familiarity with fundamental DevOps practices, including continuous integration/continuous deployment (CI/CD).
  • Experience in at least one cloud environment, with a preference for those familiar with AWS.
  • A self-starter mindset, with a penchant for experimentation, a habit of asking probing questions, and the ability to thrive in a fast-paced, agile setting.
  • A continuous learner, eager to gain a comprehensive understanding of large and complex systems at every level, who enjoys delving into nuanced problems, conceiving innovative solutions, and conducting thorough tests to grasp both the positive and negative outcomes.

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