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.
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.
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.