BigData PySpark developer

Are you passionate about building scalable Big Data solutions? We're looking for an experienced Big Data Engineer to join our team and help design, develop, and deploy high-performance data platforms.

Candidates should possess at least 7 years of experience working on big data solutions.

• Design, build, and deploy Big Data solutions using Hadoop, Hive, Spark SQL, UNIX, and related technologies
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• Develop and optimize data pipelines using Spark and HiveQL
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• Participate in the full Software Development Life Cycle (SDLC) from design through deployment.
• Deliver high-quality, scalable code with minimal production defects.
• Apply architecture, testing, code reuse, and engineering best practices.
• Research and recommend new technologies to improve existing systems.
• Communicate project status, risks, and dependencies to stakeholders.
• Collaborate effectively with cross-functional teams to ensure successful project delivery.

Strong experience with Big Data technologies including Hadoop, Hive, Spark SQL, and UNIX
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Hands-on knowledge of Spark and HiveQL
.

Strong analytical, troubleshooting, and problem-solving skills.

Experience working across the complete SDLC.

Ability to manage multiple priorities and deliver within deadlines.

Excellent verbal and written communication skills.

Self-driven, detail-oriented, and committed to delivering quality solutions.

Team player with strong interpersonal and collaboration skills.

Quick learner with the ability to adapt to new technologies.

If you're looking to work on cutting-edge data engineering projects in a collaborative environment, we'd love to hear from you!