Big Data Engineer

Responsibilities

• Design, develop, and implement robust Big Data solutions using technologies such as Hadoop, Spark, and NoSQL databases.
• Build and maintain scalable data pipelines for effective data ingestion, transformation, and analysis.
• Collaborate with data scientists, analysts, and cross-functional teams to understand business requirements and translate them into technical solutions.
• Ensure data quality and integrity through effective validation, monitoring, and troubleshooting techniques.
• Optimize data processing workflows for maximum performance and efficiency.
• Stay up-to-date with evolving Big Data technologies and methodologies to enhance existing systems.
• Implement best practices for data governance, security, and compliance.
• Document technical designs, processes, and procedures to support knowledge sharing across teams.

Requirements:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience as a Big Data Engineer or in a similar role.
• Strong proficiency in Big Data technologies (Hadoop, Spark, Hive, Pig) and frameworks.
• Extensive experience with programming languages such as Python, Scala, or Java.
• Knowledge of data modeling and data warehousing concepts.
• Familiarity with NoSQL databases like Cassandra or MongoDB.
• Proficient in SQL for data querying and analysis.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and effectively in a fast-paced environment.

Benefits:
Competitive salary and benefits package.

Opportunity to work on cutting-edge technologies and solve complex challenges.

Dynamic and collaborative work environment with opportunities for growth and career advancement.

Regular training and professional development opportunities.