Senior Data Engineer - AWS Data Pipelines & Lakes (Remote)

Webologix Ltd/ Inc

Córdoba

Remote

EUR 35,000 - 50,000

Full time

2 days ago
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Job summary

Webologix Ltd/ Inc is seeking Senior Data Engineers to design, build, test, and deploy scalable data solutions on AWS. The roles are remote and permanent, with a salary of 35-50K euros gross per year.

Ideal candidates have hands-on experience with S3, Glue, Athena, EMR, EC2, Lambda, and modern data architectures such as data lakes, lake houses, and data mesh. You will collaborate with cross-functional teams to deliver robust data pipelines and governance.

Qualifications

  • Minimum 3+ years cloud experience.
  • In-depth knowledge of Spark/Scala, Python and SQL.
  • AWS expertise: S3, Glue, Athena, EMR, EC2, Lambda.
  • ETL design and data modelling.
  • Strong analytical and problem-solving skills.
  • Attention to detail.

Responsibilities

  • Design, develop, test, and deploy data pipelines and platforms using AWS services.
  • Implement and maintain data lake, lake house, or data mesh architectures.
  • Collaborate with data engineers, analysts, and DevOps teams to deliver business solutions.
  • Ensure compliance with data governance, security, and records management policies.
  • Troubleshoot and resolve data-related issues, supporting change management processes.
  • Demonstrate ownership of projects from inception to delivery.

Skills

Spark/Scala
Python
SQL
AWS data services
ETL design
Data modelling
Analytical thinking
Problem solving
Attention to detail

Education

University degree in technology, preferably in computer science

Tools

GitHub Actions
Apache Iceberg
Great Expectations
Deequ
Bash
HCL

Job description

Webologix Ltd/ Inc is seeking Senior Data Engineers to design, build, test, and deploy scalable data solutions on AWS. The roles are remote and permanent, with a salary of 35-50K euros gross per year.

Ideal candidates have hands-on experience with S3, Glue, Athena, EMR, EC2, Lambda, and modern data architectures such as data lakes, lake houses, and data mesh. You will collaborate with cross-functional teams to deliver robust data pipelines and governance.

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