Data Engineer
Data Engineer
Yash TechnologiesThis job is no longer accepting applications
Job Description
Job Description: Data Engineer (Mid-Senior)
Experience Level: 5+ Years (Microsoft Fabric: 1–2 Years)
Role Overvie
wWe are seeking a Data Engineer with 5+ years of experience to design and implement scalable data solutions on Microsoft Fabric. You will be a key technical contributor, responsible for building end-to-end data pipelines, managing OneLake storage, and ensuring the reliability of Lakehouse and Warehouse environments. This role requires a professional who has already transitioned into the Fabric ecosystem and can independently deliver complex data engineering tasks
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Must-Have Skil
- lsExperience : 4+ years of overall data engineering experienc
- e.Microsoft Fabric: 1–2 years of proven, hands-on experience with core Fabric components (Lakehouse, Warehouse, OneLake, and Data Factory
- ).Core Technical : Expert-level SQL and strong proficiency in PySpar
- k.Data Architecture : Proven experience implementing dimensional models and Lakehouse pattern
- s.Azure Foundations : Solid understanding of ADLS Gen2, Azure SQL, and Key Vault as they integrate with Fabri
- c.Modern DevOps : Experience with Git-based version control and automated deployment workflows for dat
More Info
Key Skills
Git-based version control
Microsoft Fabric
Automated deployment workflows
About Company
Skills:
snowflake , BigQuery, Power Bi, Dimensional Modeling, Kafka, Tableau, Sql, Spark, Data Warehousing, Azure, Talend, Python, AWS, Etl, API Integrations, Looker, Cloud Data Migration
Skills:
Pyspark, Data Modeling, Sql, ELT, Security Controls, Databricks, Python, Etl, Databricks SQL, Distributed data processing, Databricks AI capabilities, Databricks Lakehouse architecture, Conversational Analytics, Advanced SQL queries, AI-Powered Analytics, Performance optimization, Unity Catalog, Delta Lake, Databricks Genie, Data quality governance, Databricks Workflows
Skills:
snowflake , Java, Data Factory, Performance Tuning, Scala, Data Governance, Sql, Metadata Management, Spark, Python, OneLake, Access Control, Snowflake Snowpipe Streaming, Fabric Warehouse, Fabric Lakehouse, Microsoft Purview, Snowpark, Snowflake Tasks, Azure Event Hubs, Lakehouse architecture, Data quality frameworks, Microsoft Fabric, CI/CD practices for data pipelines
Skills:
snowflake , Pyspark, Scala, Redshift, Sql, Gcp, Spark, Databricks, Azure, Python, AWS, Etl
Skills:
Azure Data Factory, SSIS, Sql, Data integration concepts