Senior Data Engineer — Hybrid & Cloud Data Pipelines

Endava; Rosario; Hybrid; ARS 123,632,000 - 185,448,000; Full time

Benefits offered by this job

Hybrid work model

Career development opportunities

Training and certifications

Wellbeing programs

Job summary

Endava is seeking a Data Engineer to design, build, and optimize scalable data pipelines, architectures, and data platforms. You will work with Airflow, DBT, PySpark, and Snowflake on AWS, delivering robust data solutions across development, QA, and production environments in a hybrid work setting.

The role emphasizes production-grade pipelines, CI/CD, IaC, and collaboration with architecture, DevOps, and product teams to drive data-driven decision making.

Qualifications

• 5+ years of professional experience in data engineering or a related software engineering role.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery.
• Develop reusable, modular, and configuration-driven data processing solutions.
• Contribute to technical architecture and evaluate solutions based on scalability, performance, reliability, and maintainability.
• Design and optimize data models, SQL queries, stored procedures, and data processing workflows.
• Design and maintain Apache Airflow workflows, including scheduling, dependencies, retries, monitoring, and error handling.
• Develop automated data validation and quality checks using DBT and SQL.
• Implement monitoring, alerting, and observability for data pipelines.
• Troubleshoot and resolve complex data processing and quality issues.
• Develop data solutions using AWS and Snowflake.
• Work with cloud services for storage, processing, compute, messaging, and serverless workloads.
• Support data platforms across development, QA, staging, and production environments.
• Optimize data workloads for performance, scalability, reliability, and cost.
• Develop and maintain CI/CD pipelines for data engineering applications and infrastructure.
• Apply Infrastructure-as-Code practices using Terraform or equivalent.
• Support production deployments, incident resolution, root cause analysis, and continuous improvement.
• Maintain technical documentation, runbooks, and troubleshooting guides.
• Take ownership of complex engineering initiatives from design through production.
• Conduct code reviews and promote engineering best practices.
• Mentor junior and mid-level engineers and provide technical guidance.
• Collaborate with architecture, DevOps, product, and other technology teams.

Skills

Python

SQL

Apache Airflow

DBT

PySpark

Snowflake

AWS

S3

EMR

Lambda

SNS/SQS

Jenkins

GitHub

GitHub Actions

Job description

Endava is seeking a Data Engineer to design, build, and optimize scalable data pipelines, architectures, and data platforms. You will work with Airflow, DBT, PySpark, and Snowflake on AWS, delivering robust data solutions across development, QA, and production environments in a hybrid work setting.

The role emphasizes production-grade pipelines, CI/CD, IaC, and collaboration with architecture, DevOps, and product teams to drive data-driven decision making.