Description

You will lead the development of large-scale big data applications and data processing frameworks.

Responsibilities

• Provide technical leadership in developing data solutions and building frameworks.
• Build Data Lakes, EDW, and data applications using cloud stacks.
• Tune big data solutions to improve performance.
• Conduct code reviews to improve software engineering quality.
• Manage production rollouts and infrastructure configuration.

Required Skills

• 7+ years of experience building large-scale big data applications.
• Expertise in Java, including OOPs concepts and multithreading.
• Hands-on experience with PySpark and Databricks.
• Proficiency in SQL and ETL processes.
• Experience with Azure cloud data stacks.
• Knowledge of cluster and parallel architecture.
• Experience with high-scale or distributed RDBMS.
• Demonstrable experience delivering projects using Kafka and Spark.
• Bachelor’s degree in Computer Science or a related field.

Preferred Skills

• Experience with NoSQL databases such as Cassandra, HBase, DynamoDB, or Elastic Search.
• Knowledge of Relational Modeling, Dimensional Modeling, and modeling unstructured data.
• Experience in the Banking or Financial domain.

Key Skills

Education

Any Graduate