Data Engineer

10 hours ago


Erode, India Algoscale Full time

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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