Hybrid - Sr Data Engineer Must have elite Snowflake, and Informatica _ NC location

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Ashu

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Nov 12, 2025, 1:17:07 PM (4 days ago) Nov 12

Hi,
Share me resume on ash...@monteksystems.com

Title: Data Engineer Must have elite Snowflake, and Informatica

6 months

Two open roles

Charlotte local preferred
work location: Charlotte, NC

Visa _ GC/USC

MUST HAVE ELITE SNOWFLAKE AND INFORMATICA

Overview:
Client Information Technology (IT) vision focuses on three key pillars — Application Modernization, AI, and Data.
As part of this vision, the IT team is building a Data & Analytics function under the Chief Technology Officer to drive innovation, align technology with business objectives, and strengthen the firm’s competitive edge.

The Data Engineer will design, develop, and maintain the infrastructure and systems needed for data storage, processing, and analysis. This role plays a key part in building reliable data pipelines and enabling efficient data integration and transformation across the enterprise. . You will collaborate with various groups within the Technology organization and across the firm to deliver high-value technology solutions and achieve organizational.

• Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems

• Collaborates with architects, data scientists, AI engineers, and analysts to manage data as an asset and optimize models and algorithms for data quality, security, and governance

• Integrates data from different sources, including databases, data warehouses, APIs, and external systems

• Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed

• Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques

• Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency

• Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance

• Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data

• Takes authority, responsibility, and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance

Required Qualifications:

Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related field.
8+ years of experience in data engineering, including:

Data modeling, ETL/ELT, data integration, data quality, data warehousing, analytics, BI, data science, and governance.

Strong programming skills in C#, Python, SQL, and Java.
Experience with:

Microsoft technologies: SQL Server (IaaS/PaaS), Synapse, CosmosDB, HDInsight, Azure Data Factory, Azure Databricks, Power BI, Fabric.
Informatica Cloud: CIH, DIH, CDGC, MDM, Data Quality.
Snowflake and other modern data platforms.

Excellent communication and collaboration skills — able to simplify complex technical concepts for non-technical audiences.
Strong analytical, problem-solving, and decision-making abilities.
Proactive, strategic, and adaptable approach with focus on continuous improvement and innovation.
Respectful, team-oriented, and emotionally intelligent interpersonal style.
Resilient, positive, and professional attitude.