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ETL Developer with Google Cloud Platform

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ETL Developer with Google Cloud Platform, offering a 6-month remote contract. Requires 10+ years in IT, hands-on ETL experience with Teradata, Snowflake, or Oracle, and strong data quality skills. Automation experience is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 5, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Data Extraction #Data Integration #Automation #Snowflake #Oracle #"ETL (Extract #Transform #Load)" #Teradata #GCP (Google Cloud Platform) #Migration #Data Quality #Cloud #Datasets
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, VLink Inc, is seeking the following. Apply via Dice today!

   • Need expertise working with ETL processing with source systems Teradata, Snowflake and Oracle with Google Cloud Platform as the target.

ETL Developer with Google Cloud Platform target-

   • REMOTE

   • - 6 month initial contract-

Required Skills & Qualifications:

10+ Years of overall IT Experience.

Hands-on experience with ETL processes and data warehousing.

Familiarity with Snowflake, Teradata, or Oracle; expertise in 1-2 of these systems is sufficient; willingness to learn others as needed.

Strong ability to identify and resolve data abnormalities, ensuring data quality and consistency across multiple systems.

Desired Skills:

Automation experience in ETL processes to improve efficiency.

Experience with Google Cloud Platform (Google Cloud Platform), especially data integration and migration.

Key Responsibilities:

Analyze data from three distinct sources (Snowflake, Teradata, and Oracle) and determine the optimal location for data extraction and loading into Google Cloud Platform.

Develop and manage ETL processes to extract, transform, and load data from these systems into Google Cloud Platform.

Identify and troubleshoot abnormalities and inconsistencies in the data across different sources, ensuring high data quality and alignment during the migration.

Ensure the seamless integration of massive datasets, considering volume, complexity, and quality.

Automation experience is highly desired to streamline processes and reduce manual interventions