InfraCloud Technologies

Data Engineer

• Develop ETL/ELT pipelines in Databricks (PySpark notebooks) or Snowflake (SQL/Snowpark), ingesting from sources like Confluent Kafka
• Handle data storage optimizations using Delta Lake/Iceberg formats, ensuring reliability (e.g., time travel for auditing in fintech pipelines)
• Integrate with Azure ecosystems (e.g., Fabric for warehousing, Event Hubs for streaming) and support BI/ML teams (prepare features for demand forecasting models)
• Contribute to real-world use cases such as dashboards for healthcare outcomes or optimizing logistics routes with aggregated IoT data
• Write clean, maintainable code in Python or Scala
• Collaborate with analysts, engineers, and product teams to translate data needs into scalable solutions
• Ensure data quality, reliability, and observability across the pipelines

SEO Marketing

• Design scalable indices, craft efficient queries, and tune clusters to deliver fast and relevant search experiences.
• Build and optimize high-performance search solutions.
• Collaborate closely with cross-functional teams in an Agile environment.
• Contribute to clean and modular codebases, and ensure quality through robust testing and CI/CD practices.

Data Engineer

Elasticsearch Engineer