Big Data Developer (Hadoop/Spark/Java)

Responsibilities:

• Complete SDLC: architecture, design, development and support of tech solutions
• Active participation in all scrum ceremonies, follow SAFe best practices effectively.
• Play a key role in the development team to build high-quality, high-performance, scalable code.
• Produce technical design documents and conduct technical walkthroughs.
• Document and demonstrate solutions using technical design docs, diagrams and stubbed code.
• Work collaboratively with business partners to understand and clarify requirements.
• Collaborate effectively with technical and non-technical stakeholders.
• Design and develop industry-leading applications.
• Respond to and resolve production issues.

What We’re Looking For:

Basic Qualifications:

• Must have hands on Hadoop, Spark, PySpark and SQL experience
• Must have hands on experience in Java Spring Boot or .Net (Java Preferred)
• Must be a quick learner to evaluate and embrace new technologies in Big data space
• Knowledge of distributed NOSQL databases like Elastic Search, Cassandra, MongoDB is preferable.
• Knowledge on Amazon web services and Apache Airflow is preferable.
• Knowledge on streaming systems is a plus.
• 3 to 5 years of experience with developing solutions involving relational database technologies on SQL Server platform, stored procedure programming experience using Transact SQL.
• Bachelor's degree in Computer Science, Information Systems or Engineering is required.

Preferred Qualifications:

• Experience working in AWS or Azure cloud technologies.
• Bachelor's/PG degree in Computer Science, Information Systems or equivalent.
  • Excellent Analytical and communication skills are essential, with strong verbal and writing proficiencies.