Analytics Engineer: Build Enterprise Data Assets (Remote)

Ciklum; Argentina; Presencial; ARS 1.800.000 - 2.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Udemy license

Language courses

Company-paid certifications

20 days vacation

Descripción de la vacante

Ciklum is seeking an Analytics Engineer in Argentina to transform raw data into enterprise-grade data assets and production-ready pipelines. You will work with stakeholders to define data logic and build scalable datasets that support universal analytics across the business.

Responsibilities include designing predictive data models, setting up robust ETL processes with Airflow, and ensuring data quality and governance.

Formación

• Bachelor’s or Master’s degree in Computer Science, Data Science, Analytics, or a related field.
• 4+ years of experience in data engineering, analytics engineering, or related fields.
• Expertise in SQL for querying and data transformation.
• Strong programming skills in Python for data manipulation, automation, and building data pipelines.
• Experience with cloud data platforms such as Snowflake, BigQuery, or AWS Redshift.
• Experience with ETL orchestration tools such as Airflow.
• Familiarity with data modeling concepts and building data models for analytics use cases.
• Experience with version control systems like Git.
• Proficiency with BI tools for dashboarding and data visualization (Tableau, Looker, Power BI).
• Experience with monitoring and alerting tools (Datadog, PagerDuty, Grafana).
• Familiarity with CI/CD pipelines and DevOps practices in a data context.
• Experience with data governance and data quality frameworks.
• Strong understanding of analytics workflows, data lineage, and data cataloging tools (Alation, Collibra).
• Excellent problem-solving and communication skills.

Responsabilidades

• Build Enterprise Data Assets from scratch to serve universal analytics needs.
• Establish widely accepted logic for critical data sets and a single source of truth.
• Capture data requirements with stakeholders and ensure future-proof assets.
• Translate domain knowledge into data logic underpinning new data sets.
• Produce v1 data sets and enable immediate business insights with scalable design.
• Implement alerting and monitoring to maintain data pipeline health.
• Support external reporting data sets for partners.
• Assist change management as data upstreams evolve.

Conocimientos

SQL

Python

Pandas

NumPy

PySpark

Snowflake

BigQuery

Redshift

Airflow

Git

Tableau

Looker

Power BI

Datadog

Grafana

CI/CD

Alation

Collibra

Data governance

Data lineage

Educación

Bachelor’s or Master’s degree in Computer Science, Data Science, Analytics, or a related field

Herramientas

Airflow

Snowflake

BigQuery

AWS Redshift

Git

Tableau

Looker

Power BI

Datadog

Grafana

PagerDuty

Alation

Collibra

Descripción del empleo

Ciklum is seeking an Analytics Engineer in Argentina to transform raw data into enterprise-grade data assets and production-ready pipelines. You will work with stakeholders to define data logic and build scalable datasets that support universal analytics across the business.

Responsibilities include designing predictive data models, setting up robust ETL processes with Airflow, and ensuring data quality and governance.