Hadoop / Big Data Developer (with Production Support focus)

Akkodis; Plano (TX); Hybrid; USD 82,656 - 89,544; Part time

Benefits offered by this job

Competitive hourly rate

Job summary

A technology staffing firm is seeking a Sr. Hadoop / Big Data Developer with a focus on production support. The ideal candidate will have strong experience in the Hadoop ecosystem and SQL query writing, particularly within the financial services industry. This role, based in various locations including Plano, TX, includes responsibilities in data pipeline development and troubleshooting, along with production support duties. The position offers a competitive rate of $60-$65 per hour.

Qualifications

• Strong experience with Hadoop ecosystem tools.
• Hands-on experience in Big Data development and support.
• Experience in production support (L2/L3) environments.

Responsibilities

• Design, develop, and maintain data pipelines using Hadoop ecosystem tools.
• Provide L2/L3 support for Big Data pipelines and jobs.
• Write and troubleshoot complex SQL/Hive queries.

Skills

Hadoop ecosystem (Hive, Spark, HDFS, MapReduce)

SQL/Hive query writing and troubleshooting

Problem-solving and debugging skills

Linux/Unix commands

Tools

Shell

Python

Job description

Akkodis is seeking a Sr. Hadoop / Big Data Developer (with Production Support focus) for a Contract job with a client in Plano, TX/Charlotte, NC/Kennesaw, GA(Hybrid). Ideally looking for applicants with a solid background in the financial services industry.

Rate Range: $60/hour to $65/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.

Overview

We are seeking an experienced Hadoop / Big Data Developer with strong expertise in Linux/Unix, troubleshooting, and data processing frameworks. This role requires a balance of development (50%) and production support (50%), supporting large-scale data pipelines and ensuring system reliability in a high-volume environment.

Key Responsibilities

• Design, develop, and maintain data pipelines using Hadoop ecosystem tools (Hive, Spark, HDFS, MapReduce)
• Build scalable data processing solutions for large datasets
• Optimize data workflows for performance, reliability, and scalability
• Work on batch and/or streaming data processing

Production Support (50%)

• Provide L2/L3 support for Big Data pipelines and jobs
• Troubleshoot job failures, performance bottlenecks, and data issues
• Perform root cause analysis and implement fixes
• Monitor data workflows and ensure SLA adherence
• Handle on-call support and critical incident resolution (if required)
• Use Linux/Unix commands for log analysis, job tracking, and debugging
• Analyze system logs and identify issues across distributed systems

Database & Scripting

• Write and troubleshoot complex SQL/Hive queries
• Perform data validation, debugging, and performance tuning
• Develop scripts using Shell/Python for automation

Required Skills

• Strong experience with Hadoop ecosystem (Hive, Spark, HDFS, MapReduce)
• Hands‑on experience in Big Data development and support
• Strong SQL/Hive query writing and troubleshooting
• Experience in production support (L2/L3) environments
• Excellent problem‑solving and debugging skills

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 [e-mail]

Equal Opportunity Employer/Veterans/Disabled