Database Developer

Randstad

Jersey City, NJ, United States

20 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$113,610.0 - $134,410.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Application Performance Management JIRA Microsoft Azure Big Data Databases Data Integration Data Warehousing Distributed Systems Apache Hadoop

+13 more

Spring Framework Oracle Databases Oracle SQL Developer Software Engineering Tableau (Software) YAML Scripting Google Cloud Data Lakes Kubernetes Star Schema Apache Kafka Docker

Requirements

Expertise in developing highly optimized Oracle SQL and PL/SQL code for large-scale data processing.

Extensive hands-on experience with relational and dimensional data modeling, including Star and Snowflake schemas.

Strong proficiency with Informatica (PowerCenter and IDMC) along with Linux/Unix scripting.

Deep understanding of Oracle database architecture and core database internals.

Advanced query and application performance tuning capabilities, especially in high-volume environments.

Ability to design, model, and optimize database schemas for scalability and performance.

Hadoop, Tableau and Power B, 15+ year work experience in application development

Expertise in developing highly optimized Oracle SQL and PL/SQL code for large-scale data processing.
Extensive hands-on experience with relational and dimensional data modeling , including Star and Snowflake schemas.
Strong proficiency with Informatica (PowerCenter and IDMC) along with Linux/Unix scripting .
Deep understanding of Oracle database architecture and core database internals.
Advanced query and application performance tuning capabilities, especially in high-volume environments.
Ability to design, model, and optimize database schemas for scalability and performance.
Hadoop, Tableau and Power B

qualifications:

Proven experience managing and processing large datasets efficiently

Experience integrating Data Warehouse solutions with Business Intelligence platforms.

Strong proficiency in Tableau development and dashboard visualization.

Familiarity with Delta Lake and Lakehouse architectures.

Experience working with containers and cloud platforms (e.g., Docker, Kubernetes, AWS, Azure, Google Cloud Platform).

Exposure to APIs, Spring, Java, Kafka, MQ, YAML.

Distributed systems experience

Problem-solver

Effective communication skills

Self-direction

Must be able to drive