Hadoop Developer
IBA InfoTech Inc.
Charlotte, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Charlotte, United States of America
Tech stack
Java
Agile Methodologies
Data analysis
Apache HTTP Server
Big Data
Databases
Data as a Services
ETL
Data Systems
Data Warehousing
DevOps
Hadoop
Python
Standard Sql
Scala
Simple Data Format
Sqoop
Enterprise Data Management
Parquet
Data Ingestion
Spark
Virtual Environment
Data Lake
Apache Flume
Information Technology
Data Management
Data Pipelines
Job description
As a Hadoop Developer, the ideal candidate for this developer role should be able to:
- Build high performing data models on big-data architecture as data services.
- Build a high performing and scalable data pipeline platform using Hadoop, Apache Spark.
- Partner with Enterprise data teams such as Data Management & Insights and Enterprise Data Environment (Data Lake) and identify the best place to source the data
- Work with business analysts, development teams and project managers for requirements and business rules.
- Collaborate with the source system and approved provisioning point (APP) teams, Architects, Data Analysts and Modelers to build scalable and performant data solutions.
- Effectively work in a hybrid environment where legacy ETL and Data Warehouse applications and new big-data applications co-exist
- Work with Infrastructure Engineers and System Administrators as appropriate in designing the big-data infrastructure.
- Work with DBAs in Enterprise Database Management group to troubleshoot problems and optimize performance
- Support ongoing data management efforts for Development, QA and Production environments
- Utilizes a thorough understanding of available technology, tools, and existing designs.
- Leverage knowledge of industry trends to build best in class technology to provide a competitive advantage.
- Provide QA support & do Testing as needed.
Requirements
- ETL (Extract, Transform, Load) Programming experience
- Experience in Hadoop ecosystem tools for real-time batch data ingestion, processing, and provisioning such as Apache Flume, Apache Sqoop, Apache Spark
- Java/Scala/Python experience
- Agile experience
- Good SQL knowledge
- Design and development experience with columnar databases using Parquet or ORC file formats on Hadoop
- Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs)
Desired Qualifications
- Excellent verbal, written, and interpersonal communication skills
- Ability to work effectively in a virtual environment where key team members and partners are in various time zones and locations
- Knowledge and understanding of project management methodologies: used in waterfall or Agile development projects
- Knowledge and understanding of DevOps principles
- Reporting experience, analytics experience or a combination of both
- A BS/BA degree or higher in information technology