Senior Data Engineer

6 days ago

Hyderabad, Telangana, India Agivant Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Description
Key Responsibilities :

  • Design, build, and optimize data pipelines for batch and streaming workloads ensuring scalability and reliability.
  • Implement query optimization and caching mechanisms to improve performance and reduce processing time.
  • Develop query normalization and parameterization techniques for plan reuse and efficiency.
  • Architect data integration workflows across lakes, warehouses, and graph/NoSQL systems.
  • Define and manage schema mapping, metadata, and transformation logic across diverse data sources.
  • Ensure data governance, observability, and quality through robust testing, monitoring, and validation.
  • Collaborate with data scientists, architects, and analysts to deliver unified and high-performance data solutions.

Requirements
Required Skills & Qualifications :

  • 5+ years of hands-on experience in data engineering or large-scale data system design.
  • Experience with compiler or parser development like ANTLR (parsing, semantic checks, AST transformations, query planning, code generation).
  • Strong expertise in SQL, query tuning, and execution plan optimization.
  • Proficiency in Python, Java, or Scala for data pipeline development.
  • Practical experience with data processing frameworks (Spark, Flink, Beam) and streaming platforms (Kafka, Kinesis).
  • Experience with relational, NoSQL, or graph databases and schema design.
  • Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD workflows.
  • Solid understanding of data modeling, metadata management, and data governance principles.
  • Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.

Good To Have

  • Experience with query caching or optimization frameworks.
  • Knowledge of cloud data platforms (AWS, GCP, Azure).
  • Exposure to real-time analytics and event-driven architecture.
  • Relevant certifications in data engineering or cloud technologies.

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