Description

You will design and maintain scalable data pipeline architectures and production-grade microservices.

This role is hybrid.

Responsibilities

• Build and optimize data pipelines for performance, scalability, and cost-effectiveness.
• Implement custom data models and data products to ensure accuracy and integrity across systems.
• Develop detailed solution designs, functional specifications, and technical documentation.
• Conduct code reviews and Operational Readiness Reviews to ensure standards compliance and reusability.
• Provide technical support to resolve escalated incidents and system outages.

Required Skills

• 10+ years of relevant experience in backend development and data engineering.
• Strong expertise in Java and Spring frameworks.
• Hands-on experience with Azure Databricks and cloud integration.
• Proficiency with big data tools including Spark, Kafka, Hadoop, HDFS, ADLS, and ADF.
• Experience with relational SQL and NoSQL databases, specifically Cassandra.
• Proven track record of designing production-grade, scalable applications and microservices.
• Experience working within Agile teams.

Key Skills

Education

Any Gradute