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 Qualified Data

Engineer, Databricks certification (preferred)

Work Experience

7-10Years

📌 Data Engineer (Hyderabad)
🏢 Virtusa
📍 Hyderabad