Data Analyst - Enterprise Knowledge Hub

<strong>Job Requirements </strong><br><p>experience in building and managing ETL/ELT pipelines and data architectures; Experience with</p><p>relational and NoSQL databases; Experience with big data and distributed processing frameworks;</p><p>Experience with cloud data platforms (Azure, AWS, GCP); Exposure to real-time data streaming and</p><p>event-driven architectures; Experience supporting AI/ML pipelines and analytics workloads is highly</p><p>preferred; Experience in regulated industries such as banking or financial services is an advantage.</p><p>Required Skills</p><p>Data Engineering, ETL/ELT, Data Modeling, SQL, Python/Scala, Big Data Processing</p><p>(Spark/Hadoop), Data Warehousing, Data Lakes, Streaming (Kafka/Event Hubs), Cloud Data</p><p>Platforms, Data Governance, Data Quality, Performance Optimization, Problem Solving,</p><p>Debugging, Integration Design, Collaboration</p><p>Preferred Tools and Certifications</p><p>Data Platforms: Azure Data Factory, AWS Glue, Google Dataflow, Databricks</p><p>Processing: Apache Spark, Hadoop</p><p>Databases: SQL Server, PostgreSQL, MySQL, Snowflake, BigQuery</p><p>Streaming: Kafka, Azure Event Hubs; Programming: Python, Scala</p><p>Orchestration: Airflow; Version Control: Git; DevOps: CI/CD tools (Azure DevOps, Jenkins)</p><p>Monitoring: Azure Monitor, Prometheus, Grafana</p><p>Certifications: Azure Data Engineer Associate, AWS Data Analytics, Google Professional Data</p><p>Engineer, Databricks certification (preferred)</p><p> </p><br><br><strong>Work Experience </strong><br>10-15Years<br><br>