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.