Database Developer

Rutherford, NJ, US • Posted 5 hours ago • Updated 5 hours ago
Contract W2
On-site
Fitment

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Job Details

Skills

  • Banking
  • Brand
  • Financial Services
  • Computer Science
  • Information Systems
  • PL/SQL
  • SQL
  • Data Manipulation
  • Data Warehouse
  • Dimensional Modeling
  • Cloud Computing
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Data Storage
  • GCS
  • Data Processing
  • Apache Spark
  • Apache Flink
  • Version Control
  • Git
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • Communication
  • Articulate
  • Programming Languages
  • Python
  • Scala
  • Data Engineering
  • Workflow
  • Orchestration
  • Apache Airflow
  • Amazon Web Services
  • Data Analysis
  • Apache HTTP Server
  • Virtualization
  • Data Management
  • Stored Procedures
  • Data Integration
  • Collaboration
  • Business Intelligence
  • Management
  • Extract
  • Transform
  • Load
  • ELT
  • Data Lake
  • Storage
  • Amazon S3
  • Data Quality
  • Data Governance
  • Performance Tuning
  • Optimization
  • Oracle
  • Database
  • Evaluation
  • High Availability
  • Specification Gathering
  • Data Flow
  • Mentorship

Summary

Grow your career as an Database Developer with an innovative global bank in Rutherford, NJ. Contract role with strong possibility of extension. Will require working a hybrid schedule 3 days onsite per week.

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Contract Duration: 12 Months

Required Skills & Experience
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
  • 7-10 years of experience in database development or data engineering roles.
  • Proven hands-on experience with Apache Iceberg for managing large-scale, high-performance table formats in a data lake context.
  • Strong expertise in Oracle database development, including SQL, PL/SQL, schema design, indexing, and performance tuning.
  • Experience with Starburst (Trino) for distributed query processing and federated queries across heterogeneous data sources.
  • Proficiency in SQL for complex data manipulation, analysis, and optimization.
  • Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT methodologies.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and their data storage services (e.g., S3, ADLS, GCS).
  • Familiarity with distributed data processing frameworks (e.g., Apache Spark, Flink).
  • Experience with version control systems (e.g., Git).
  • Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts.
Desired Skills
  • Master's degree in a related field.
  • Experience with other data lake table formats (e.g., Delta Lake, Apache Hudi).
  • Knowledge of other distributed query engines (e.g., Presto, Athena, Dremio).
  • Proficiency in programming languages such as Python or Scala for data engineering tasks.
  • Experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).
  • Familiarity with data governance tools and practices in a data lakehouse environment.
  • Relevant industry certifications (e.g., Oracle Certified Professional, AWS Certified Data Analytics).

What You Will Be Doing
  • Design, develop, and maintain robust and scalable data solutions within our data lakehouse architecture, leveraging Apache Iceberg for open table format management.
  • Develop and optimize data ingestion, transformation, and curation processes using technologies compatible with Iceberg, Oracle, and Starburst.
  • Utilize Starburst (Trino) for high-performance querying and data virtualization across various data sources, including Iceberg tables and Oracle databases.
  • Work extensively with Oracle databases for enterprise data management, including schema design, stored procedures, performance tuning, and data integration.
  • Collaborate with data architects, data scientists, and business intelligence teams to translate business requirements into technical data models and data solutions.
  • Implement and manage ETL/ELT pipelines to move data efficiently between Oracle, data lake storage (e.g., S3, ADLS), and Iceberg tables.
  • Ensure data quality, integrity, and security across all data platforms, adhering to data governance standards.
  • Perform performance tuning and optimization for queries running on Starburst, Iceberg tables, and Oracle databases.
  • Participate in the evaluation and adoption of new data technologies and best practices to enhance our data platform capabilities.
  • Troubleshoot and resolve complex data-related issues, ensuring high availability and reliability of data infrastructure.
  • Document technical specifications, data flows, data models, and operational procedures.
  • Mentor junior team members and contribute to a culture of continuous learning and improvement.
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: 10105282
  • Position Id: 881614
  • Posted 5 hours ago
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