Microsoft Synapse Expert - Pune, India - Braincranx IT solutions

Braincranx IT solutions
Braincranx IT solutions
Verified Company
Pune, India

1 week ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter
Description

Job description
Extracting data from multiple channels.

Transforming and compiling data together into a common format.

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability,etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure big data technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performancemetrics.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Previous experience as a data engineer or in a similar role
  • Azure Synapse Analytics (Dedicated SQL Pool, ADLS Gen2, Data Flows, Data Pipelines, Notebook, Serverless SQL Pool),
  • Cosmos DB, Experience creating API s and using APIM, Experience with IOT Hub and event Hub,
  • Exposure to Kafka and SAP

Requirements:

Good command over Azure, Pycharm,Pyspark,Python,data bricks experience is preferred

Technical expertise with data models, data mining, and segmentation techniques

Knowledge of programming languages (e.g. Java and Python)

Hands-on experience with SQL database design

Great numerical and analytical skills

Degree in Computer Science, IT, or similar field; a Master s is a plus

  • Good communication skills.

Benefits:


  • Health insurance
  • Life insurance
  • Paid sick time
  • Work from home

Schedule:

  • Day shift
  • Monday to Friday

Supplemental pay types:

  • Overtime pay
  • Performance bonus

Ability to commute/relocate:

  • Pune, Maharashtra: Reliably commute or planning to relocate before starting work (required)

Experience:

- total work: 6 years (preferred)
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