Senior Data Engineer (GCP, Azure, AWS, Databricks & Microsoft Fabric)

We’re looking for an experienced Senior Data Engineer to build and optimize scalable data pipelines, ETL/ELT workflows, data warehouses, data lakes/lakehouses, and BI solutions. Required Skills: - GCP: BigQuery, Cloud SQL - Azure: Data Factory (ADF), Synapse, Azure Functions - AWS: S3, Glue, Redshift, Lambda, Athena, RDS, Kinesis - Databricks: Delta Lake, Spark, - Microsoft Fabric: Data Factory, Data Warehouse, Lakehouse, OneLake - Big Data: Hadoop, Spark, PySpark, Kafka, - Programming: Python, SQL, REST APIs, Selenium, Scrapy, Web Scraping - BI: Power BI, Tableau, Looker, Responsibilities: - Build and maintain reliable ETL/ELT data pipelines - Integrate multiple cloud, database, API, and enterprise data sources - Develop data warehouses, lakes, and lakehouse architectures - Optimize SQL queries and pipeline performance - Build Power BI and other BI dashboards - Implement data automation, monitoring, and CI/CD - Support cloud migration and data modernization projects Requirements: - 5+ years of professional Data Engineering experience - Strong hands-on Python, SQL, ETL, and cloud experience - Proven experience with GCP, Azure, AWS, Databricks, or Microsoft Fabric - Strong understanding of data warehousing and big-data technologies - Excellent communication and problem-solving skills Please include examples of similar projects you have completed and mention which cloud/data platforms you specialize in.