Data Pipeline and ETL Reasoning Reviewer

ixolabs.ai; France; Hybride; EUR 78 000 - 126 000; Temps partiel

Résumé du poste

IXO is seeking data-engineering specialists to evaluate pipelines and infrastructure for reliability. You will document data flows, architecture and decisions to ensure reproducibility and visible assumptions.

Location: Remote with 10–20 hours per week, 2–3 week assignments. Hourly pay model applies with transparent scope and review of findings.

Qualifications

• 1-3 years in data engineering/ETL with a technical bachelor’s in computing, engineering or information systems.
• Strong ability with one or more systems such as Redshift, Snowflake, Spark, Kafka or dbt and independent pipeline problem solving.

Responsabilités

• Develop or assess ETL, integration and warehouse work using the relevant data-engineering tools.
• Build or evaluate cloud data infrastructure and investigate pipeline failures or performance problems.
• Document data flows, architecture and technical decisions so the solution is reproducible and its assumptions are visible.

Connaissances

ETL

Data Engineering

Redshift

Snowflake

Spark

Kafka

dbt

Formation

Bachelor's degree in Computing/Engineering/Information Systems

Outils

dbt

Airflow

Kafka

Spark

Description du poste

IXO is engaging specialists to evaluate data pipelines and infrastructure that can be understood, operated and repaired. Your contribution is technical work: make the reasoning inspectable, identify substantive errors and provide evidence that supports a reliable assessment.

Work you will do

• Develop or assess ETL, integration and warehouse work using the relevant data-engineering tools.
• Build or evaluate cloud data infrastructure and investigate pipeline failures or performance problems.
• Document data flows, architecture and technical decisions so the solution is reproducible and its assumptions are visible.

Required background and routes

• One to three professional years in data engineering/ETL or related work, with a technical bachelor's in computing, engineering or information systems.
• Strong ability with one or more relevant systems such as Redshift, Snowflake, Spark, Kafka or dbt, and independent pipeline problem solving.

Deliverables

Submit the completed technical artifact or assessment with its supporting evidence, explicit assumptions, reproducible checks where applicable, and concise reasons for each material judgment. Address review findings within the agreed scope.

Location and schedule

Remote assignments are scheduled by agreement, with no guaranteed weekly volume. Availability planning can include 10-20 hours per week depending on the track. Indicative assignment lengths include 2-3 weeks. IXO confirms the applicable timing before work.

Pay and working terms

$65 $105/hr USD. The agreed hourly rate, scope, schedule and acceptance criteria are confirmed before work starts. Applying does not guarantee an assignment. Use public, licensed or otherwise authorized material only; do not submit confidential employer information, personal data or restricted research.