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Data Engineer (Databricks, Spark, Python)

• Posted 10 hours ago • Updated 10 hours ago

Full Time

Part Time

USD $55-60/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

Jersey
Data Engineering
Python
Extract
Transform
Load
ELT
Workflow
SQL
Relational Databases
Unstructured Data
Cloud Computing
Amazon Web Services
Problem Solving
Conflict Resolution
Debugging
Communication
Stakeholder Management
Banking
Finance
Continuous Integration
Continuous Delivery
Version Control
Git
Data Warehouse
Orchestration
Databricks
Apache Spark
PySpark
Data Processing
Collaboration
Data Quality
Performance Tuning
Production Support

Summary

Job Title: Data Engineer (Databricks, Spark, Python)

Employment Type: W2 Only

Work Model: Hybrid - 3 Days Onsite / Week

Locations:

Irving, TX
Tampa, FL
Jersey City, NJ
Wilmington Delaware

Job Description

We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Apache Spark, and Python to support enterprise-scale data engineering initiatives for Infosys/Citi.

The ideal candidate should have solid experience building scalable data pipelines, working with large datasets, and supporting cloud-based data platforms.

Required Skills

6 to 8 years of overall IT experience in Data Engineering
Strong hands-on experience with Databricks
Expertise in PySpark
Strong programming skills in Python
Experience building ETL/ELT pipelines and data transformation workflows
Good knowledge of SQL and relational databases
Experience working with large-scale structured and unstructured data
Exposure to cloud platforms such as AWS
Strong problem-solving and debugging skills
Excellent communication and stakeholder management skills

Preferred Skills

Experience in Banking/Financial domain preferred
Knowledge of CI/CD pipelines and version control tools like Git
Familiarity with Delta Lake, data warehousing, and orchestration tools

Responsibilities

Design, develop, and optimize scalable data pipelines
Build and maintain Databricks-based data solutions
Develop Spark/PySpark jobs for large-scale data processing
Collaborate with cross-functional teams including business analysts, architects, and data scientists
Ensure data quality, performance optimization, and production support

Note:

W2 candidates only
Must be comfortable with 3 days onsite hybrid model
Local candidates or candidates willing to relocate preferred

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: 91165685
Position Id: OOJ - 1200-201-1778102548
Posted 10 hours ago

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