Description

You will build and maintain data pipeline architectures and implement data products using custom data models.

Responsibilities

• Create and optimize data pipelines for performance, scalability, and cost-effectiveness.
• Develop functional, technical, and user interface designs based on business and enterprise architecture requirements.
• Ensure data quality, integrity, and reliability across all systems and sources.
• Conduct code reviews, Operational Readiness Reviews, and document detailed solution designs.
• Provide technical support to resolve escalated incidents and system outages.

Required Skills

• 5+ years of relevant professional experience.
• Strong proficiency in Java and Spring.
• Experience with Big Data tools including Hadoop, HDFS, ADLS, ADF, Spark, Kafka, Databricks, and Dremio.
• Hands-on experience with SQL and NoSQL databases, specifically Cassandra.
• Proven track record designing production-grade, scalable applications and microservices.
• Experience working within Agile teams.
• Background in Capital Markets.
• Proficiency in Python and/or Scala.

Preferred Skills

• Knowledge of latest industry trends in data engineering.

Key Skills

Education

Any Graduate