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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
Job ID: 151776761
Skills:
virtual environment , T-sql, Pyspark, Azure Databricks, Tensorflow, Numpy, Nltk, Oracle Pl Sql, Azure Synapse Analytics, Postgres, Azure Data Lake, Data Modelling, Oracle, Python, Azure DevOps, Matplotlib, Pytest, Pycharm, Hadoop, SQL Server, HBase, Azure Data Factory, Hive, Pandas, Keras, Conda, requests, Azure SQL Databases, Scikit-learn, Azure AD Integration, IDLE, Jupyter
Skills:
Neo4j, SQL and data transformation, Graph data modeling, Metadata and lineage concepts, Entity relationship modeling, Python data engineering, Cypher
Skills:
Pyspark, Scala, Azure Databricks, Sparksql, Azure Synapse Analytics, Python, Open AI Foundry, Purview, Unity catalog, Github Copilot, Azure Data Explorer, Llm, Azure Time Series Insights, Azure Stream Analytics, Microsoft Fabric
Skills:
snowflake , Pyspark, Containers, Api Integration, Sql, Databricks, Azure, Python, LangChain, CI CD monitoring, LLMs, Claude, retrieval optimisation, GPT, LangGraph, RAG pipelines, OpenAI
Skills:
S3, Hadoop, Pyspark, Informatica, SSIS, Redshift, Sql, Spark, Databricks, Talend, Python, AWS, ETL technologies