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RCI-RID-15844 Senior Data Engineer - DO NOT APPLY FOR C2C

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown" and a pay rate of "unknown." It requires 6+ years of experience in ETL, data warehousing, and SQL, along with expertise in tools like Matillion and Snowflake. Hybrid work is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
March 28, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Corp-to-Corp (C2C)
🔒 - Security clearance
Unknown
📍 - Location detailed
Waltham, MA
🧠 - Skills detailed
#Data Warehouse #ODI (Oracle Data Integrator) #Data Engineering #Tableau #Data Pipeline #Data Security #Visualization #Computer Science #SAP #Scala #Matillion #Datasets #Data Analysis #Databases #Programming #Data Modeling #HTTP & HTTPS (Hypertext Transfer Protocol & Hypertext Transfer Protocol Secure) #SQL (Structured Query Language) #Security #Data Integration #Cloud #Batch #Data Architecture #Data Quality #Data Design #"ETL (Extract #Transform #Load)" #Data Mapping #Snowflake #SSIS (SQL Server Integration Services) #Data Lake #Informatica
Role description
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One day a week in office

Hybrid Preferred

Key Accountabilities

   • A Senior data engineer will be responsible for designing, developing, and maintaining ETL processes to extract, transform, and load data from various sources into our data warehouse.

   • The ideal candidate should have hands-on experience with ETL tools, strong data analysis skills, and the ability to work with large datasets.

Duties

   • Lead the design, development, and maintenance of large-scale data systems, including data warehouses, data lakes, and data pipelines.

   • Design, develop, and maintain ETL processes using tools like Matillion.

   • Design, Develop and maintain optimal data flows in tools like Matillion.

   • Develop and Maintain Datawarehouse objects like tables, views and security roles in snowflake database.

   • Extract data from various sources, such as databases, flat files, and APIs

   • Transform and cleanse data to ensure data quality and integrity

   • Load data into the data warehouse, ensuring data consistency and accuracy

   • Optimize ETL processes for performance, scalability, and reliability

   • Work closely with data architects, analysts, and developers to support data integration initiatives.

   • Implement data validation, data quality checks, and data security measures

   • Troubleshoot and resolve data issues, performance bottlenecks, and ETL failures.

   • Implement best practices for data warehousing, data modeling, and ETL development.

   • Document ETL processes, data mappings, and configurations.

Requirements

   • A minimum of 6 years of experience with relational databases, ETL, and data warehouse required.

   • Expert level knowledge of industry leading ETL/ELT tools such as ODI, Informatica, Matillion or SSIS.

   • Experience in designing and developing complex near real-time and/or batch data integration solutions using cloud based ETL and integration tools

   • Experience with traditional and non-traditional forms of analytical data design (Kimbal, Inmon etc)

   • Proficiency in SQL programming and relational database concepts.

   • Experience with loading and maintaining a data warehouse.

   • Bachelor’s degree in Computer Science or a related field with 6 years of related experience, or Master’s degree in Computer Science or a related field with at least 4 years of related experience required.

Nice to Have

   • Experience with cloud-based data platforms, such as Snowflake.

   • Domain knowledge in the area of finance data is preferred.

   • Experience with SAP Systems and Databases

   • Knowledge of data visualization tools, such as PowerBI or Tableau.