Senior Data Engineer

3 weeks ago

Raipur Ahmedabad, India Eventus Security Full time
Job Title: System Architect (Senior Data Engineer)

We are seeking a highly skilled and experienced Data Engineer with expertise in Elasticsearch/OpenSearch and Machine Learning to join our dynamic team at Eventus Security.

Responsibilities:
  • Design and Develop Data Solutions: Architect, implement, and optimize data solutions using Elasticsearch/OpenSearch, integrating with various data sources and systems.
  • Machine Learning Integration: Apply your expertise in machine learning to develop models, algorithms, and pipelines for data analysis, prediction, and anomaly detection within Elasticsearch/OpenSearch environments.
  • Data Ingestion and Transformation: Design and implement data ingestion pipelines to collect, cleanse, and transform data from diverse sources, ensuring data quality and integrity.
  • Elasticsearch/OpenSearch Administration: Manage and administer Elasticsearch/OpenSearch clusters, including configuration, performance tuning, index optimization, and monitoring.
  • Query Optimization: Optimize complex queries and search operations in Elasticsearch/OpenSearch to ensure efficient and accurate retrieval of data.
  • Troubleshooting and Performance Tuning: Identify and resolve issues related to Elasticsearch/OpenSearch performance, scalability, and reliability, working closely with DevOps and Infrastructure teams.
  • Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand requirements and deliver effective data solutions.
  • Documentation and Best Practices: Document technical designs, processes, and best practices related to Elasticsearch/OpenSearch and machine learning integration. Provide guidance and mentorship to junior team members.

Requirements:

  • Bachelor's or master's degree in computer science, Data Science, or a related field.
  • Strong experience in designing, implementing, and managing large-scale Elasticsearch/OpenSearch clusters, including experience with indexing, search queries, performance tuning, and troubleshooting.
  • Expertise in machine learning techniques and frameworks, such as TensorFlow, PyTorch, or scikit-learn, with hands-on experience in developing ML models and integrating them into data pipelines.
  • Proficiency in programming languages like Python, Java, or Scala, and experience with data processing frameworks (e.g., Apache Spark) and distributed computing.
  • Solid understanding of data engineering concepts, including data modeling, ETL processes, data warehousing, and data integration.
  • Experience with cloud platforms like AWS, Azure, or GCP, and knowledge of containerization technologies (e.g., Docker, Kubernetes) is highly desirable.

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