ML Ops Lead - PySpark / Azure

6 - 11 years

30 - 40 Lacs

Varanasi

Posted:2 months ago| Platform: Naukri logo

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Skills Required

ML ops pyspark machine learning azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Experience: Around 9 16 years of software development experience in Data Warehouse, Data Lake, Big Data, Data Modelling & ETL. Relevant experience of Min. 5 yearsMandatory skills Design, Develop, Operate big data solutions Creating custom solutions or implementing package solutions. Building data solutions using best practices and architecture recommendations Design and implement ETL Solutions, frameworks and reusable components Strong working knowledge in Microsoft SQLServer or other RDBMS databases, with experience in developing data workloads using SQL/Procedures to build data layer for BI/analytics is mandatory Hands-on working experience in one of the Data Integration tools like Databricks/Azure Data Factory/SSIS/Informatica/similar tool is mandatory Experience/working knowledge in Azure ecosystem (Azure Databricks, Azure Data Lake Storage, Synapse Analytics) or Snowflake Datawarehouse is preferred. Data Sets Preparation Extraction, Transformation, Cleansing etc Python based ingestion and creating data pipelines Unix / Linux working experience and SQL and advanced SQL capabilities Exposure to multiple heterogeneous sources in batch & real-time mode Platform: Cloudera, GCP, AWS, Azure cloud Ability to communicate with stakeholders across different geographies and collaborate with analytics & data science teams to match technical solutions with customer business requirements.

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AVE-Promagne Business Solutions
AVE-Promagne Business Solutions

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