Job Requirements

Experience with cloud data platforms (Azure, AWS, GCP); Exposure to real-time data streaming and event-driven architectures; Experience supporting AI/ML pipelines and analytics workloads is highly preferred; Experience in regulated industries such as banking or financial services is an advantage.

Required Skills

Data Engineering, ETL/ELT, Data Modeling, SQL, Python/Scala, Big Data Processing

(Spark/Hadoop), Data Warehousing, Data Lakes, Streaming (Kafka/Event Hubs), Cloud Data

Platforms, Data Governance, Data Quality, Performance Optimization, Problem Solving,

Debugging, Integration Design, Collaboration

Preferred Tools And Certifications

Data Platforms: Azure Data Factory, AWS Glue, Google Dataflow, Databricks

Processing: Apache Spark, Hadoop

Databases: SQL Server, PostgreSQL, MySQL, Snowflake, BigQuery

Streaming: Kafka, Azure Event Hubs; Programming: Python, Scala

Orchestration: Airflow; Version Control: Git; DevOps: CI/CD tools (Azure DevOps, Jenkins)

Monitoring: Azure Monitor, Prometheus, Grafana

Certifications: Azure Data Engineer Associate, AWS Data Analytics, Google Skilled Data

Engineer, Databricks certification (preferred)

Work Experience

7-10Years

📌 Data Engineer (Hyderabad)
🏢 Virtusa
📍 Hyderabad