Data Engineer - Banking Foundation Platform (BFP)

Overview

On Site
Depends on Experience
Full Time
Accepts corp to corp applications

Skills

Data Engineer
ETL data pipeline using ADLS Gen2
Azure Blob storage
Azure Databricks
Python
Azure SQL Database
Azure Cosmos DB.
CosmosDB
PostgreSQL
ADF
Spark
Confluent Kafka.
operational data store (ODS)
RDBMS
NoSQL Technologies.
ADLS Gen2

Job Details

Data Engineer with Azure

Raleigh, NC - 5days/week onsite

C2H after 6 months

8-10 years - Data Engineer - 4 (Positions)

12+ Years - Sr. Data Engineer- 4 (Positions)

Banking Foundation Platform (BFP) & Strong Exposure on Azure

Onsite interview at client location

About the Role: We are seeking a highly skilled Senior Data Engineer & Database Expert to join our team building the next-generation Banking Foundation Platform (BFP). In this role, you will be instrumental in designing, optimizing, and maintaining our robust data pipelines and database systems that process millions of financial transactions daily. You will work at the intersection of big data processing and database excellence, ensuring our platform meets stringent performance, reliability, and scalability requirements.

Key Responsibilities:

  • Design, build, and maintain scalable ETL data pipeline using ADLS Gen2, Azure Blob storage, Azure Databricks, Python, Azure SQL Database and Azure Cosmos DB.
  • Perform deep database performance tuning, query optimization, and indexing strategies across Azure SQL Database and Cosmos DB
  • Lead database migration initiatives, including strategic migration from Azure SQL Database and CosmosDB to PostgreSQL
  • Implement efficient data models and manage data storage solutions using ADLS Gen2 and real time data streaming using ADF, Spark and Confluent Kafka.
  • Develop and maintain data quality checks, monitoring, and alerting systems. Ensure data solutions comply with regulatory and security standards (e.g., PCI DSS)
  • Optimize batch processing workflows for intra-day and end-of-day banking operations

Required Qualifications:

  • 10 years of hands-on experience in data engineering with strong database expertise.
  • At least 5 years of experience in implementing operational data store (ODS) for the retail banking space, which captures the multiple cross system transactions, providing high throughput and low latency solution using RDBMS or NoSQL Technologies.
  • Should have hands-on experience implementing solutions using ADLS Gen2, Azure Blob storage, Azure Databricks, Azure SQL Database and Azure Cosmos DB.
  • Should have hand on experience in writing queries using the Normalized Data model for the retail banking space. Expert-level skills in database performance tuning, query optimization, and execution plan analysis
  • Proven experience with large-scale database migrations (Azure SQL Database to PostgreSQL preferred)
  • Strong programming skills in Python for data processing and automation
  • Experience with data modeling, ETL/ELT processes, and data warehouse concepts.
  • Excellent problem-solving skills with ability to diagnose and resolve complex data pipeline issues

Your expertise:

  • Can-do attitude with eagerness to tackle challenging problems
  • Strong communication skills for technical discussions and solution proposals.
  • Collaborate with cross-functional teams to resolve complex data-related performance issues and ability to mentor junior engineers.
  • Azure platform engineering using PowerShell, ARM Templates, Cloud Automation Frameworks.
  • Familiarity with Azure DevOps, GitLab, and metadata management tools (Data Governance, MDM, Lineage).
  • Bachelor or master degree or equivalent in Computer Science major.

Position emphasize the need for strong communication, problem-solving skills, and the ability to work in a dynamic, fast-paced environment building mission-critical banking infrastructure.

Your team

  • In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. You ll be working in the Banking Foundation crew in Raleigh focusing on providing digital retail banking solutions.
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.

About RAVIN IT SOLUTIONS, Inc