TPI Global (formerly Tech Providers, Inc.)

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Data Engineer

New York, NY, US • Posted 2 days ago • Updated 5 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Banking
Unstructured Data
GL
NetSuite
High Availability
Recovery
Optimization
Regulatory Compliance
Sarbanes-Oxley
Auditing
Accounting
Data Science
Analytics
Treasury
Data Engineering
Databricks
PySpark
Management
Data Warehouse
Snow Flake Schema
Warehouse
Data Modeling
SQL
Performance Tuning
Amazon Web Services
Amazon S3
Amazon Redshift
Data Integration
Extract
Transform
Load
ELT
Cloud Computing
Orchestration
Real-time
Apache Kafka
Apache Spark
Streaming
Machine Learning (ML)
Artificial Intelligence
Finance
Data Quality
Communication
Collaboration

Banking
Unstructured Data
GL
NetSuite
High Availability
Recovery
Optimization
Regulatory Compliance
Sarbanes-Oxley
Auditing
Accounting
Data Science
Analytics
Treasury
Data Engineering
Databricks
PySpark
Management
Data Warehouse
Snow Flake Schema
Warehouse
Data Modeling
SQL
Performance Tuning
Amazon Web Services
Amazon S3
Amazon Redshift
Data Integration
Extract
Transform
Load
ELT
Cloud Computing
Orchestration
Real-time
Apache Kafka
Apache Spark
Streaming
Machine Learning (ML)
Artificial Intelligence
Finance
Data Quality
Communication
Collaboration

Summary

Job Description

Job Title: Data Engineer
Duration: 12 months contract with high possibility of extension
Location: New York City, NY 10003 (Onsite)
Duties:
Design, build, and optimize scalable ELT/ETL pipelines ingesting banking and treasury data from Kyriba into Snowflake and Databricks. Develop and own canonical data models and schemas for cash positions, bank transactions, intercompany settlements, and reconciliation outputs Architect data warehousing solutions ensuring seamless integration across cloud platforms and structured/unstructured data sources Collaborate with business stakeholders to understand data needs and develop high-performance solutions. Build and maintain reconciliation logic that compares Kyriba source data against GL systems (NetSuite) and surfaces discrepancies for Finance Operations Ensure pipelines operate with high availability, fault tolerance, and observability -including alerting, monitoring, and automated recovery

Drive performance tuning and optimization across Snowflake and Databricks environments to ensure efficiency at scale
Enforce data quality, governance, and security compliance while managing large datasets, including SOX-relevant audit trails and lineage tracking
Collaborate with Finance, Treasury, and Accounting stakeholders to translate business reconciliation requirements into scalable data solutions
Work cross-functionally with data science and analytics teams to support ML/AI pipelines and feature engineering built on top of treasury and financial data
Stay current on emerging data technologies and recommend enhancements to existing architectures.
Skills:
5+ years of data engineering experience building and maintaining production pipelines
Strong expertise in Databricks, Apache Spark (PySpark/SQL).
Proven experience designing and managing data warehouses using Snowflake or equivalent cloud warehouse technologies
Deep understanding of data modeling, SQL, and performance optimization
Hands-on experience with AWS services -including S3, Glue, Lambda, and Redshift -for cloud-based data integration and pipeline orchestration
Experience implementing ETL/ELT processes using cloud-native orchestration tools (e.G., Airflow, dbt, or equivalent)
Solid knowledge of real-time or near-real-time streaming technologies (Kafka, Spark Streaming, or similar)
Familiarity with ML/AI data pipelines and feature engineering best practices -experience preparing and serving financial data for downstream models
Strong understanding of data quality, validation, and reconciliation patterns
Strong communication and collaboration skills with the ability to work directly with business stakeholders in a fast-paced enterprise environment
Ability to work independently and deliver with minimal direction.

Meet Your Recruiter

Praveen Dubey

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10375359
Position Id: e602a1647052a5ea2eae4e60ec6877da
Posted 2 days ago

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