hirly
Sign inGet started free

RandomTrees

Data Engineer _ PGS

Location unstated

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at RandomTrees first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.6M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

See how it works

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

We are seeking a highly skilled Data Engineer with hands-on expertise in Snowflake, Python, SQL, and Kafka to design and maintain scalable data architectures and pipelines. The ideal candidate will have strong problem-solving skills and a passion for building efficient, high-performance data solutions on modern cloud platforms.

Key Responsibilities:

  • Design, build, and optimize ETL/ELT pipelines using Python and SQL.
  • Develop and maintain data warehouse solutions in Snowflake, including data modeling, schema design, and performance tuning.
  • Implement real-time and batch data ingestion pipelines using Kafka and other streaming technologies.
  • Collaborate with cross-functional teams to ensure high-quality data delivery for analytics and business needs.
  • Automate workflows and monitor pipeline performance to ensure reliability and scalability.
  • Establish data quality frameworks and implement governance best practices.
  • Work with cloud data platforms (AWS, Azure, or GCP) for data storage, processing, and orchestration.

Mandatory Skills:

  • Snowflake (2.5+ years) – experience in building data models, writing complex SQL queries, managing warehouses, and optimizing performance.
  • Python (5+ years) – proficiency in developing ETL scripts, automation, and data transformation logic.
  • SQL (5+ years) – expert-level query writing, optimization, and performance tuning.
  • Kafka – hands-on experience with event-driven data pipelines and streaming architectures.
Original posting on RandomTrees's site ↗

Similar jobs

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job