Overview
On Site
USD 60.00 - 67.00 per hour
Full Time
Skills
RDBMS
Storage
Management
Data Processing
Workflow
Real-time
GraphQL
SQL
Process Automation
Collaboration
Optimization
Graph Databases
CA Workload Automation AE
Job Scheduling
Risk Management
Agile
Testing
Computer Science
Apache Hadoop
HDFS
MapReduce
Apache Hive
Cloudera Impala
PySpark
Python
Middleware
Big Data
Teradata
Unix
Shell Scripting
Life Insurance
Law
Privacy
Security Clearance
LOS
Job Details
Akkodis is seeking a Big Data Engineer for a Contract job with a client in Plano, TX (Hybrid). The ideal candidate must have strong expertise in the Hadoop ecosystem and RDBMS, with a solid understanding of data processing, storage, and analysis.
Rate Range: $60/hour to $67/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
Big Data Engineer job responsibilities include:
Desired Qualifications:
Must-Have:
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at mudit.rajpal@
Pay Details: $60.00 to $67.00 per hour
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ;br>
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
Rate Range: $60/hour to $67/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
Big Data Engineer job responsibilities include:
- Design and develop data processing and ingestion solutions using Hadoop and related technologies (HDFS, MapReduce, Hive, Impala, PySpark) or Teradata.
- Write scalable, robust, and high-performance code for data processing and analysis.
- Build and manage data processing workflows and pipelines for batch and real-time data.
- Develop and maintain middleware services using Python.
- Create and query GraphQL-based queries.
- Write optimized SQL queries considering large data sizes (up to 30-30TB).
- Work with Unix shell scripting for process automation and optimization.
- Collaborate on performance improvements and identify optimization opportunities.
- Develop REST APIs using Python and integrate with various data systems.
- Work with Graph databases and Autosys for job scheduling and automation.
- Follow secure coding practices and risk management protocols.
- Contribute to Agile development practices and testing concepts.
Desired Qualifications:
- Bachelor's or master's degree in computer science, Engineering, or a related field.
- 3+ years of experience in Big Data engineering or a related role.
- Expertise in Hadoop ecosystem tools (HDFS, MapReduce, Hive, Impala, PySpark) and Teradata.
- Proficiency in Python for middleware services and developing REST APIs.
Must-Have:
- We need big data experience and Teradata experience along with autopsy and unix shell scripting.
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at mudit.rajpal@
Pay Details: $60.00 to $67.00 per hour
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ;br>
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
- The California Fair Chance Act
- Los Angeles City Fair Chance Ordinance
- Los Angeles County Fair Chance Ordinance for Employers
- San Francisco Fair Chance Ordinance
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.