Java developer with Data Engineering,Databricks - Remote -
Remote • Posted 1 hour ago • Updated 1 hour ago
Contract W2
Contract Independent
Remote
Depends on Experience
Fitment
Dice Job Match Score™
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Job Details
Skills
Data Engineering
Databricks
Java
Data Engineering
Databricks
Java
Summary
Job title: Java developer with Data Engineering,Databricks Remote Contract
Qualifications:
15+ years of Software Development experience
Design and implement models to transform complex, connected datasets into actionable business intelligence using graph analytics principles and technologies
Core JAVA development including wrapper classes to support object-oriented features
Write Java classes, build JARs, perform unit testing, and optimize code for performance
Create entity models based on raw data sources
Build data pipelines for ingestion and incremental updates
Build automated test suites
Validate data quality and investigate data discrepancies
Review complex requirements and translate them into software designs and solutions
Write optimized code to clean, transform, and analyze large datasets
Knowledge sharing through peer programming, group code reviews
Adhere to code standardization and team best practices
Collaborate with team members, technical peers and stakeholders
Test data solutions, monitoring jobs, and fixing issues
Document technical specs and processes
Operate in various development environments (Agile, Kanban, Waterfall)
All other duties as assigned.
Skills:
Meticulous attention to details and strong problem-solving abilities
Ability to apply logic and critical thinking to interpret data patterns and connections between different data sources
Able to work with ambiguity, gaining clarity using independent analysis and thorough investigation
Ability to work with complex data models and data modeling principles
Understanding of relational database principles
High proficiency in core JAVA development language OOP, Collections, Multithreading, Data Structures and Exception Handling
Proficiency with JUNIT testing framework, Maven build tool, GitHub version control and IntelliJ IDE.
Proficient in Big Data Frameworks such as Apache Spark (preferred) or Hadoop
Knowledgeable in Azure Databricks, Delta Lake, Spark Core, Azure Data Factory (ADF) and Unity Catalog
Knowledgeable in analyzing data, finding data patterns, data visualization
Ability to ingest and transform data using PySpark in Azure Databricks
Understanding of key Data Warehousing and ETL/ELT Processes such as data pipelines and database management
Ability to design, build, and maintain robust Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines
Proficient in SQL and NoSQL databases, MySQL and Azure Cosmos DB are preferred
Knowledgeable in object-oriented programming (OOP) concepts, design patterns, and general software architecture
Knowledgeable in Cloud Platforms, such as Microsoft Azure (preferred) or AWS
Experience in performance optimization, including multi-threading, concurrency, and memory management
Ability to interpret complex data, visualize results, and explain insights to technical and non-technical stakeholders.
Ability to collaborate with internal and external technology resources.
Ability to write and review detailed technical specifications
Knowledge of software development methodologies (e.g., Scrum, Kanban, Waterfall)
Regards,
Vinay Ram
(Direct)
Suwanee, GA - 30024
An MBE & eVerify Company
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