Senior Data Engineer: ELT Pipelines (Remote)

Intone Inc

United States

Remote

USD 120,000 - 150,000

Full time

14 days+
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Job summary

Intone Inc. is seeking a Data Engineer for a 12-month contract position, based remotely. The role focuses on designing, building, and optimizing data pipelines and ELT processes at scale.

The candidate will design ELT processes, develop multi-step data pipelines with Azure Data Factory, and write Python/PLSQL scripts while tuning SQL for performance. Experience with MongoDB, Cosmos DB, and VBA in Excel is highly valued. Knowledge of containerized ETL in Kubernetes is a plus.

Qualifications

  • 10+ years of experience as a Data Engineer.
  • Proven track record of developing productive ELT processes.
  • Experience building multi-step ELT jobs and robust data pipelines.
  • Proficiency with Python and PL/SQL scripts.
  • Deep knowledge of SQL tuning and optimization.
  • Extensive experience with SQL databases.
  • Experience with MongoDB and Cosmos DB.
  • VBA scripting experience for data reporting and dashboarding in Excel.

Responsibilities

  • Design and develop productive ELT processes with a proven track record of delivery.
  • Build multi-step ELT jobs and robust data pipelines using tools such as Azure Data Factory.
  • Write and optimize Python and PL/SQL scripts for data processing and transformation.
  • Tune and optimize SQL queries for performance and efficiency.
  • Work with SQL databases and NoSQL platforms including MongoDB and Cosmos DB.
  • Build data reporting and dashboarding solutions in Excel using VBA scripting.
  • Support ETL workflows related to containerized applications deployed on Kubernetes environments.

Skills

ELT development
Python
PL/SQL
SQL tuning
SQL databases
MongoDB
Cosmos DB
VBA scripting
Excel dashboards
Azure Data Factory
Kubernetes

Tools

Azure Data Factory
Azure Synapse
Azure Databricks
Azure Kubernetes Service (AKS)

Job description

Intone Inc. is seeking a Data Engineer for a 12-month contract position, based remotely. The role focuses on designing, building, and optimizing data pipelines and ELT processes at scale.

The candidate will design ELT processes, develop multi-step data pipelines with Azure Data Factory, and write Python/PLSQL scripts while tuning SQL for performance. Experience with MongoDB, Cosmos DB, and VBA in Excel is highly valued. Knowledge of containerized ETL in Kubernetes is a plus.

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