Data Modeler Lead

1 month ago


Gurgaon, Haryana, India Canara HSBC Life Insurance Full time

Data Pipeline Development:

Create and maintain scalable data processing pipelines using PySpark, collaborating with data engineers and analysts to integrate data from various sources.

Performance Optimization:

Develop and implement best practices for efficient Spark code and resource utilization, guiding developers in optimizing Spark jobs for performance and scalability.

Data Model Design & Development:

Design and establish data models in GCP cloud, adhering to enterprise standards, and evaluate data-related tools and technologies to recommend appropriate implementation patterns and standards methodologies.

Key Responsibilities:

  1. Develop and maintain data models in GCP cloud.
  2. Collaborate with data engineers and analysts to integrate data from various sources.
  3. Implement data transformations, aggregations, and enrichment processes.
  4. Optimize Spark jobs for performance and scalability.
  5. Evaluate data-related tools and technologies.

Requirements:

  • 5 years of experience with cloud platforms (Google Cloud) and their data services.
  • Proficiency in Python and PySpark.
  • Experience with Hadoop ecosystem (HDFS, Hive, HBase) is a plus.
  • Strong understanding of distributed computing principles.
  • Knowledge of SQL and NoSQL databases.
  • Familiarity with version control systems (e.g., Git).

Soft Skills:

  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills.
  • Ability to work effectively in a team-oriented environment.
  • Self-motivated with a proactive attitude towards learning and development.

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