NEWPosted 1 hour ago

Job ID: JOB_ID_8469

Job Overview

We are seeking a highly skilled Data Engineer with 9+ years of experience to design, develop, and optimize our next-generation data platform. In this role, you will bridge the gap between raw data and actionable insights by building robust ETL/ELT pipelines and maintaining a scalable data architecture. You will work extensively within the Azure ecosystem, leveraging Snowflake and Databricks to ensure our data infrastructure is performant, secure, and reliable.

Key Responsibilities

  • Design and implement complex end-to-end data integration pipelines using Matillion and Python.
  • Architect and manage large-scale data sets within Snowflake, ensuring optimal clustering, indexing, and storage strategies.
  • Utilize Databricks (Spark) for high-volume data transformation, feature engineering, and stream processing.
  • Build and maintain scalable data solutions within Azure (Data Lake Storage, Azure Data Factory, Key Vault).
  • Contribute to the blueprinting of data models (Star/Snowflake schemas, Data Vault) and ensure alignment with enterprise data governance standards.
  • Monitor and tune queries and pipeline performance to minimize latency and cloud compute costs.

Required Qualifications

  • Proven experience with Matillion for ETL orchestration and Snowflake as a cloud data warehouse.
  • Hands-on experience with the Azure data stack.
  • Strong proficiency in Python (specifically for data manipulation libraries like Pandas, PySpark, or NumPy) and advanced SQL.
  • Experience building and scaling clusters within Databricks.
  • Deep understanding of Data Architecture principles, including data modeling, metadata management, and master data management (MDM).
  • Familiarity with version control (Git) and deploying data pipelines through automated environments.

Compensation & Location

Salary: $100,000 – $150,000 per year (Estimated)

Location: Remote

Recruiter / Company – Contact Information

Email: e@anveta.com

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