

Zillion Technologies, Inc.
Senior Data Engineer – Oracle EBS, Snowflake & Azure Data Factory - Locals Only --- 100 % Onsite
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer specializing in Oracle EBS, Snowflake, and Azure Data Factory, located 100% onsite in Irving, TX. The contract is long-term with a pay rate of $65-$80/hr. Requires 7-10+ years of data engineering experience and advanced SQL skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
-
🗓️ - Date
June 20, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
1099 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Irving, TX
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #JSON (JavaScript Object Notation) #Leadership #Data Engineering #Data Mart #Indexing #Azure SQL #SQL Server #REST (Representational State Transfer) #SQL (Structured Query Language) #Data Modeling #REST API #API (Application Programming Interface) #BI (Business Intelligence) #ADF (Azure Data Factory) #Scala #Storage #Datasets #Azure Data Factory #Snowflake #Oracle #Data Warehouse #Data Processing #Azure #Data Pipeline
Role description
This is a direct client requirement !
"Work sponsorship is not available for this position. Applicants must be a United States citizen, Green card holder or EAD Green Cards at the direction of our client".
Reach Shaily Sharma || 908-487-4334
shaily(at)zilliontechnologies(dot)com
Senior Data Engineer – Oracle EBS, Snowflake & Azure Data Factory
Location - 100 % Onsite - Irving, TX
Duration : longterm ongoing with contract to hire
Compensation
• Rate : $65/hr to $80/hr
• This is the targeted compensation range for this role per hour. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.
Benefits
We offer a comprehensive benefits package including medical, dental, vision, and disability insurance; 401(k)
Call notes
Date warehousing guru
Multiple level solutions
Oracle EBS
Legacy system - dates back 10 years
Querying
We need to reach in Oracle pull source tables and write all the report
Need expert who can Look at the complexity of pulling reports
Oracle, SQL Server, and Snowflake expert
The strongest technical requirements are:
• Azure Data Factory
• Oracle EBS extraction
• Snowflake
• Advanced SQL
• Data pipelines
• REST APIs
• Incremental loads / MERGE logic
• JSON transformation
Job Summary
The Senior Data Warehouse Engineer is responsible for designing, building, and optimizing enterprise data pipelines and data models to transform complex operational data into scalable, consumable datasets. This role will focus on modernizing data from Oracle EBS and other sources into Azure-based platforms, enabling near real-time data availability through incremental load and UPSERT patterns.
This role requires deep expertise in Azure Data Factory, strong SQL engineering skills, and experience working with both structured and semi-structured data, including JSON. The engineer will also integrate external data sources via REST APIs and help standardize data for downstream reporting and analytics.
Primary Responsibilities
• Design, build, and maintain data pipelines using Azure Data Factory (ADF)
• Develop and implement incremental data processing patterns, including UPSERT/MERGE logic
• Ingest and transform data from Oracle EBS into Azure SQL and Snowflake
• Integrate REST API-based data sources into enterprise data pipelines
• Design and maintain data warehouse and data mart structures (star/snowflake schemas)
• Transform and normalize semi-structured data (JSON) into relational models
• Optimize performance for large-scale datasets (indexing, partitioning, query tuning)
• Establish standards for data modeling, naming conventions, and pipeline design
• Partner with BI/reporting teams to ensure data is accurate, performant, and consumable
• Troubleshoot and resolve issues across ingestion, transformation, and storage layers
• Provide technical leadership, mentoring, and best practices in data engineering
Required Qualifications
• 7–10+ years of experience in data engineering or data warehousing
Advanced SQL expertise across:
• Oracle
• SQL Server / Azure SQL
• Snowflake
• Strong hands-on experience with Azure Data Factory (ADF) (required)
• Advanced SQL query capabilities, including but not limited to: Joins, aggregations, memory tables, CTEs, subqueries (all candidates will be screened for this ability)
Experience implementing:
• Incremental data loads
• UPSERT / MERGE patterns
• Experience integrating data from:
• Oracle EBS or similarly complex ERP systems
• REST APIs as data sources
• Managing orchestrated workflows involving placement of sFTP files
Strong experience working with:
• JSON data structures and parsing in SQL
• Hybrid structured and semi-structured datasets
• Deep understanding of:
• Dimensional data modeling (star/snowflake schema)
• Data pipeline architecture and lifecycle
Please send qualified resumes directly to : shaily(at)zilliontechnologies(dot)com // 9084874334
Thanks,
Shaily Sharma
Zillion Technologies Inc.
Asst. Director - Talent Acquisition
9084874334
Email: shaily(at)zilliontechnologies(dot)com // 9084874334
"We are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law."
This is a direct client requirement !
"Work sponsorship is not available for this position. Applicants must be a United States citizen, Green card holder or EAD Green Cards at the direction of our client".
Reach Shaily Sharma || 908-487-4334
shaily(at)zilliontechnologies(dot)com
Senior Data Engineer – Oracle EBS, Snowflake & Azure Data Factory
Location - 100 % Onsite - Irving, TX
Duration : longterm ongoing with contract to hire
Compensation
• Rate : $65/hr to $80/hr
• This is the targeted compensation range for this role per hour. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.
Benefits
We offer a comprehensive benefits package including medical, dental, vision, and disability insurance; 401(k)
Call notes
Date warehousing guru
Multiple level solutions
Oracle EBS
Legacy system - dates back 10 years
Querying
We need to reach in Oracle pull source tables and write all the report
Need expert who can Look at the complexity of pulling reports
Oracle, SQL Server, and Snowflake expert
The strongest technical requirements are:
• Azure Data Factory
• Oracle EBS extraction
• Snowflake
• Advanced SQL
• Data pipelines
• REST APIs
• Incremental loads / MERGE logic
• JSON transformation
Job Summary
The Senior Data Warehouse Engineer is responsible for designing, building, and optimizing enterprise data pipelines and data models to transform complex operational data into scalable, consumable datasets. This role will focus on modernizing data from Oracle EBS and other sources into Azure-based platforms, enabling near real-time data availability through incremental load and UPSERT patterns.
This role requires deep expertise in Azure Data Factory, strong SQL engineering skills, and experience working with both structured and semi-structured data, including JSON. The engineer will also integrate external data sources via REST APIs and help standardize data for downstream reporting and analytics.
Primary Responsibilities
• Design, build, and maintain data pipelines using Azure Data Factory (ADF)
• Develop and implement incremental data processing patterns, including UPSERT/MERGE logic
• Ingest and transform data from Oracle EBS into Azure SQL and Snowflake
• Integrate REST API-based data sources into enterprise data pipelines
• Design and maintain data warehouse and data mart structures (star/snowflake schemas)
• Transform and normalize semi-structured data (JSON) into relational models
• Optimize performance for large-scale datasets (indexing, partitioning, query tuning)
• Establish standards for data modeling, naming conventions, and pipeline design
• Partner with BI/reporting teams to ensure data is accurate, performant, and consumable
• Troubleshoot and resolve issues across ingestion, transformation, and storage layers
• Provide technical leadership, mentoring, and best practices in data engineering
Required Qualifications
• 7–10+ years of experience in data engineering or data warehousing
Advanced SQL expertise across:
• Oracle
• SQL Server / Azure SQL
• Snowflake
• Strong hands-on experience with Azure Data Factory (ADF) (required)
• Advanced SQL query capabilities, including but not limited to: Joins, aggregations, memory tables, CTEs, subqueries (all candidates will be screened for this ability)
Experience implementing:
• Incremental data loads
• UPSERT / MERGE patterns
• Experience integrating data from:
• Oracle EBS or similarly complex ERP systems
• REST APIs as data sources
• Managing orchestrated workflows involving placement of sFTP files
Strong experience working with:
• JSON data structures and parsing in SQL
• Hybrid structured and semi-structured datasets
• Deep understanding of:
• Dimensional data modeling (star/snowflake schema)
• Data pipeline architecture and lifecycle
Please send qualified resumes directly to : shaily(at)zilliontechnologies(dot)com // 9084874334
Thanks,
Shaily Sharma
Zillion Technologies Inc.
Asst. Director - Talent Acquisition
9084874334
Email: shaily(at)zilliontechnologies(dot)com // 9084874334
"We are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law."





