Darwoft

Senior Data Engineer – Python, SQL, Snowflake, AWS

Darwoft

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇦🇷 Argentina

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Job Level

Senior

Tech Stack

AirflowAWSPythonSQL

About the role

  • Design and optimize ingestion, storage, and transformation pipelines using Python, SQL, Snowflake, and Snowpark
  • Build and enhance real-time data pipelines with AWS Lambda and Snowpipe
  • Collaborate with data scientists and analysts to deliver business-ready datasets
  • Create internal and external data views (logical, materialized, and secure)
  • Test and evaluate new features in Snowflake, Airflow, and AWS for proof of concepts
  • Participate in peer code reviews and provide constructive feedback
  • Maintain clean, efficient, and scalable code
  • Join sprint ceremonies (planning, stand-ups, reviews, retrospectives)
  • Ensure alignment with stakeholders on deliverables and timelines
  • Coordinate deployments with PMs and IT
  • Ensure smooth release cycles with minimal downtime

Requirements

  • 5+ years of experience as a Data Engineer
  • Strong expertise with Snowflake and orchestration tools like Airflow
  • Advanced Python and SQL programming skills
  • Hands-on experience with AWS services: Lambda, S3, and real-time data streaming
  • Solid understanding of ELT pipelines, data modeling, and efficient storage strategies
  • Great communication and collaboration skills.
Benefits
  • Contractor agreement with payment in USD
  • 100% remote work
  • Argentina's public holidays
  • English classes
  • Referral program
  • Access to learning platforms

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLSnowflakeSnowparkAWS LambdaSnowpipeAirflowELT pipelinesdata modelingefficient storage strategies
Soft skills
communicationcollaborationconstructive feedbackstakeholder alignmentteamwork
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