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Azure Data Bricks

Azure Data Bricks

Apptad

5 - 10 years

4 - 8 Lacs

Noida

Posted:3 days ago| Platform:

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Skills Required

scipy python pyspark numpy pandas azure databricks azure data lake data warehousing microsoft azure machine learning data engineering dataproc sql nosql data bricks tensorflow data modeling spark spark mllib agile etl data lake etl process

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a skilled Senior Azure Data Engineer with 5 to 10 years of experience to design and implement scalable data pipelines using Azure technologies, driving data transformation, analytics, and machine learning. The ideal candidate will have a strong background in data engineering and proficiency in Python, PySpark, and Spark Pools.
Roles and Responsibility

Design and implement scalable Databricks data pipelines using PySpark.

Transform raw data into actionable insights through data analysis and machine learning.

Build, deploy, and maintain machine learning models using MLlib or TensorFlow.

Optimize cloud data integration from Azure Blob Storage, Data Lake, and SQL/NoSQL sources.

Execute large-scale data processing using Spark Pools and fine-tune configurations for efficiency.

Collaborate with cross-functional teams to identify business requirements and develop solutions.

Job

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Minimum 5 years of experience in data engineering, with at least 3 years specializing in Azure Databricks, PySpark, and Spark Pools.

Proficiency in Python, PySpark, Pandas, NumPy, SciPy, Spark SQL, DataFrames, RDDs, Delta Lake, Databricks Notebooks, and MLflow.

Hands-on experience with Azure Data Lake, Blob Storage, Synapse Analytics, and other relevant technologies.

Strong understanding of data modeling, data warehousing, and ETL processes.

Experience with agile development methodologies and version control systems.

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490 Jobs

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Azure Data Bricks