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We are hiring for the role of Senior Azure Data Engineer for one our client
Location-Hyderabad/Ahmedabad
Work Mode-Onsite
Exp-4-8+Years
Mandatory Skills-Azure Data Factory, Azure Databricks, Azure SQL Database.
Qualifications:
Bachelor's degree
4+ years of experience in data engineering or related roles.
Strong proficiency in Microsoft Azure services, particularly Azure Data Factory, Azure Databricks, Azure SQL Database.
Familiarity with AWS services will be advantageous in our multi-cloud environment.
Extensive experience with SQL and MySQL, including database design, optimization, and data manipulation.
Familiarity with programming languages such as Python or spark for data processing and analysis.
Understanding of data warehousing concepts and big data technologies (e.g., Hadoop, Spark) is a plus.
Experience with data governance and data quality best practices.
Excellent problem-solving skills and attention to detail.
Strong communication skills and ability to work collaboratively in a team environment.
Preferred Qualifications:
Microsoft Azure Data Engineer certification.
Experience with real-time data processing and stream analytics.
Knowledge of machine learning concepts and tools.
Job ID: 151342003
Skills:
Azure Data Factory, Azure Synapse Analytics, Pyspark, Azure Data Lake, Python, Sql
Skills:
ARM Templates, Google Cloud Platform, Pyspark, Sql, Git, Azure Data Factory, Azure Functions, Terraform, Machine Learning, Databricks, Kubernetes, Python, Azure DevOps, Serverless Architecture, NoSQL databases, Ai, Structured streaming, EventHub, Azure ADLS, Azure services, Event Grid, SQL DW
Skills:
Pyspark, Azure Data Factory, Python, Sql, Data Bricks
Skills:
snowflake , Sql, ELT, Aws S3, Azure Data Factory, Csv, Json, Etl, Python, Azure Data Lake, Airflow, dbt, Dimensional modelling, Parquet, Matillion Data Productivity Cloud, Jinja, Medallion Architecture
Skills:
Pyspark, Sql, Azure Synapse Analytics, Spark, Data Warehousing Concepts, Python, data modeling techniques, Azure SQL Database, Azure Data Factory ADF, large-scale data processing, Azure Data Lake ADLS Gen2, ETL ELT development, Azure Data Services
