Data Engineer
10 hours ago
Exp: 4+ Years
Location: Noida/ remote
Work Timings: 10:30 AM to 7:30 PM; Mon - Fri
Key Responsibilities:
- Design, develop, and optimize data pipelines and workflows using Java and Apache Flink to process and transform large volumes of data.
- Build and maintain data infrastructure and frameworks to support high-performance data processing.
- Collaborate with data scientists, analysts, and product teams to understand data requirements and implement solutions that meet business needs.
- Monitor, troubleshoot, and resolve issues with data pipelines and ensure data quality and integrity.
- Develop strategies for data processing, storage, and retrieval to ensure scalability and performance in real-time and batch processing.
- Implement best practices for data security, compliance, and governance.
- Keep up-to-date with the latest technologies and trends in data engineering, especially in the areas of streaming data and distributed systems.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Minimum of 4 years of experience as a Data Engineer or similar role, focusing on real-time data processing and big data solutions.
- Strong proficiency in Java and deep knowledge of Apache Flink for stream processing.
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, or Azure) is preferred.
- Solid understanding of database management systems (e.g., MySQL, PostgreSQL) and data warehousing solutions.
- Familiarity with data modeling, ETL/ELT processes, and data pipeline orchestration tools.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Excellent communication skills and the ability to work effectively in a team-oriented setting.
Preferred Skills:
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Proficiency in additional programming languages (e.g., Python or Scala).
- Exposure to DevOps practices and tools for CI/CD pipelines.
- Knowledge of data governance and security practices.
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