778 - Data Engineer Ssr/Sr (ETL · NiFi/Glue · PySpark · AWS)

• Location: LATAM (preferably Argentina CABA/AMBA region)
• Job Type: Remote (hybrid expected for CABA/AMBA)
• Project: Data Infrastructure Modernization
• Time Zone: GMT-3 (Buenos Aires time)
• English Level: B2 / C1
  
  
  

Get to Know Us

At Darwoft, we build digital products with heart. Were a Latin American tech company focused on creating impactful, human-centered software in partnership with companies around the globe. Our remote-first culture is built on trust, continuous learning, and collaboration.

Were ionate about tech, but even more about people. If youre looking to a team where your ideas matter and your impact is real welcome to Darwoft.

Were Looking For a Data Engineer

Were looking for a skilled Data Engineer to help lead our migration from on-premise data processes to a scalable cloud-native environment. Youll design and optimize ETL/ELT pipelines using modern tools, and play a key role in ensuring efficiency, scalability, and high-quality data integration as we move to the cloud.

Note: Candidates located in CABA/AMBA will be expected to attend some in-person ceremonies.

What Youll Be Doing

• Design, develop, and optimize ETL/ELT processes using NiFi, AWS Glue, EMR, or Informatica Cloud.
• Migrate and adapt existing ETL workflows from on-premise to cloud infrastructure.
• Ingest and process unstructured data into Data Lakes, ensuring seamless integration with other data sources.
• Implement and fine-tune scalable data workflows with Apache Spark or PySpark.
• Develop automation and data processing scripts in Python as part of robust data pipelines.
• Collaborate closely with solution architects and cross-functional teams to ensure smooth cloud transitions.
• Build cloud-based pipelines (preferably on AWS) with scalability and performance in mind.
• Maintain comprehensive documentation of data architecture and processes for clarity and .
  
  
  

What You Bring

• Proven experience developing ETL/ELT jobs in both on-premise and cloud environments.
• Hands-on experience with tools such as NiFi, AWS Glue, EMR, or Informatica Cloud.
• Solid background in migrating data workflows to the cloud.
• Familiarity with ingesting and transforming unstructured data within Data Lakes.
• Proficiency in Apache Spark or PySpark for distributed data processing.
• Strong Python scripting skills for automation within data pipelines.
• Cloud experience, ideally with AWS (other cloud platforms are a plus).
• Strong analytical and problem-solving skills with a focus on optimizing complex data workflows.
  
  
  

Nice to Have

• AWS or other cloud platform certifications.
• Experience with other data orchestration/integration tools.
• Background in large-scale migration or cloud optimization projects.
• Understanding of data governance and security in cloud environments.
  
  
  

Perks & Benefits

• Full-time contract with payment in ARS
• 100% remote work
• Competitive salaries
• Legal leave and vacation days
• 5 extra personal days off per year
• Access to top learning platforms
• Benefits and discounts card
• Welcome kit
• Reimbursement programs
• English classes
• Referral program
• Birthday gift
• Healthy Break
• Darwoft-style celebrations: anniversaries, year-end parties, birthdays, and fun team-building events