Bigdata specialist programmer

Key Responsibilities

• Lead the design and implementation of big data solutions using Spark, Pyspark, Hive, and Scala.

• Collaborate with cross-functional teams to develop scalable data architectures and pipelines.

• Optimize data processing workflows to ensure high performance and reliability.

• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

• Ensure data security and compliance with industry standards.

Minimum Qualifications:

• Bachelor's degree in Technology (B.Tech) or related field.

• Proven experience in big data technologies such as Spark, Pyspark, Hive, and Scala.

• Strong analytical and problem-solving skills.

Preferred Qualifications:

• Experience with Kafka for real-time data processing.

• Demonstrated leadership skills in managing technology projects.

• Ability to work effectively in a collaborative team environment.

• Track record of delivering high-quality data solutions.

Good to have skills: Flask, Pandas, Data Analysis, Springboot, Microservices

• Knowledge of more than one technology
• Basics of Architecture and Design fundamentals
• Knowledge of Testing tools
• Knowledge of agile methodologies
• Understanding of Project life cycle activities on development and maintenance projects
• Understanding of one or more Estimation methodologies, Knowledge of Quality processes
• Basics of business domain to understand the business requirements
• Analytical abilities, Strong Technical Skills, Good communication skills