Remote Senior FinOps Data Engineer — ELT & Cost Analytics

Lifted (an Upwork Company)

Chile

Remoto

CLP 94.356.000 - 161.753.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Lifted (an Upwork Company) seeks a Senior FinOps Data Engineer to design, build, and maintain ELT/ETL pipelines for cloud cost transparency and optimization. You will ingest billing, usage, telemetry, and performance data to enable Product, Engineering, Analytics, and Finance teams to make data-driven decisions.

The role requires hands-on experience with SQL, Python, Spark, Scala, and cloud platforms (AWS, GCP) with familiarity in dbt, Airflow, Dagster, Terraform, and Snowflake.

Competenze

  • Hands-on experience with SQL, Python, Spark, and Scala.
  • Workflow tools: dbt, Airflow, Dagster.
  • AWS including Glue, Aurora, and Athena.
  • GCP and Snowflake experience.
  • End-to-end ELT/ETL pipeline maintainability.
  • Strong data modeling and data quality practices.
  • CI/CD and Terraform familiarity.

Mansioni

  • Design, build, and maintain end-to-end ELT/ETL pipelines in cloud environments.
  • Develop data tooling and datasets for cost attribution and financial modeling.
  • Ingest and reconcile large-scale billing, usage, telemetry, and performance data.
  • Improve data models, schemas, and ingestion frameworks for reliable analysis.
  • Partner with stakeholders to translate data insights into actionable recommendations.

Conoscenze

SQL
Python
Spark
Scala
Airflow
dbt
Dagster
Terraform
Snowflake
AWS
GCP

Strumenti

AWS Glue
Amazon Aurora
Amazon Athena
GCP
Snowflake
dbt
Airflow
Dagster
Terraform
CI/CD tooling
Git

Descrizione del lavoro

Lifted (an Upwork Company) seeks a Senior FinOps Data Engineer to design, build, and maintain ELT/ETL pipelines for cloud cost transparency and optimization. You will ingest billing, usage, telemetry, and performance data to enable Product, Engineering, Analytics, and Finance teams to make data-driven decisions.

The role requires hands-on experience with SQL, Python, Spark, Scala, and cloud platforms (AWS, GCP) with familiarity in dbt, Airflow, Dagster, Terraform, and Snowflake.

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