Overview
On Site
Depends on Experience
Full Time
Able to Provide Sponsorship
Skills
Apache Spark
Big Data
Apache Cassandra
Apache HBase
Apache Hadoop
Apache Hive
Apache Kafka
Analytical Skill
Cloud Computing
Amazon Web Services
Data Engineering
Data Manipulation
Data Warehouse
Database
Docker
Extract
Transform
Load
Google Cloud Platform
NoSQL
SQL
Python
PySpark
Collaboration
Kubernetes
Microsoft Azure
Continuous Delivery
Continuous Integration
Problem Solving
Systems Analysis
Conflict Resolution
Communication
Teamwork
Job Details
Big Data Engineer - PySpark Developer
Jersey City, NJ
Requirements and Qualifications:
- 8+ years of relevant experience in the Data Engineering, ApacheSpark
- Strong proficiency in PySpark and Apache Spark.
- Solid experience with SQL, NoSQL databases (e.g., Hive, HBase, Cassandra).
- Hands-on experience with big data frameworks (Hadoop, Kafka, etc.).
- Expertise in cloud platforms (AWS, Azure, or Google Cloud Platform).
- Proficiency in Python programming and data manipulation.
- Knowledge of ETL tools, data lakes, and data warehouses.
- Experience in CI/CD, containerization (Docker, Kubernetes) is a plus.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork skills.
- Experience in systems analysis and programming of software applications
- Experience in managing and implementing successful projects
- Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
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.