Azure Data Engineer
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Job Title: Azure Data Engineer
Location: Pune
Experience:
5+ years in data engineering or related roles
Role Summary:
We are seeking an experienced Azure Data Engineer with strong expertise in Azure Data Factory (ADF) to
design, build, and optimize scalable data pipelines and cloud-based data solutions.
Key Responsibilities:
Develop and manage ADF pipelines for data ingestion and transformation
Build ETL/ELT workflows using ADLS Gen2 and Azure Synapse
Integrate data from multiple sources (APIs, databases, files)
Monitor and optimize pipeline performance and reliability
Ensure data quality, validation, and governance
Collaborate with architects and business teams on data solutions
Technical Skills:
Strong hands-on with Azure Data Factory (ADF)
Proficiency in SQL and data modeling
Experience with Azure SQL / Synapse / ADLS Gen2
Knowledge of Python or C#
Understanding of ETL, data warehousing, and cloud architecture
Azure Data Factory,SQL,PySparkJob ID: 150990999
Skills:
Azure Sql, Data Modeling, Data Warehousing, Azure Data Factory, Azure Synapse, Power Bi, SQL Server, Performance Tuning, ETL Processes, DAX Programming
Skills:
virtual environment , Pytest, Azure Synapse Analytics, T-sql, Tensorflow, Hadoop, Pyspark, Pandas, Azure Databricks, Hive, Matplotlib, Azure DevOps, Keras, SQL Server, Azure Data Factory, Postgres, HBase, Numpy, Data Modelling, Nltk, Oracle, Python, Oracle Pl Sql, Pycharm, Azure Data Lake, IDLE, Azure SQL Databases, Scikit-learn, Jupyter, Azure AD Integration, requests, Conda
Skills:
Sql, Azure Databricks, Azure Data Factory, Python, Azure Data Lake, Git, Pyspark, Data Modeling, Performance Optimization
Skills:
Databricks, ELT, Pytest, Sonarqube, Kinesis, Data Factory, SAP, AWS, Sql Db, Azure, Data Modeling, Redshift, Azure DevOps, Data Integration Ingestion, Airflow, Stream Analytics, Synapse, Data Manipulation and Processing, Glue, GITHUB Action
Skills:
Pyspark, Azure, Python, Devops, R
