Birlasoft Limited

Azure Databricks Engineer

Birlasoft Limited
Pune
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 6 yearsMin. 6 years

Job Description

Azure Databricks Engineer

Area(s) of responsibility

Skills: Azure Databricks Engineer, Python, Pyspark, SQL

Experience: 6-12years

•            Azure Lead with experience in Azure ADF, ADLS Gen2, Databricks, PySpark and Advanced SQL

•            Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Azure Cloud

•            4 Years of experience in Azure Databricks and PySpark

•            Experience in Performance Tuning

•            Experience with integration of different data sources with Data Warehouse and Data Lake is required

•            Experience in creating Data warehouse, data lakes

•            Understanding of data modelling and data architecture concepts

•            To be able to clearly articulate pros and cons of various technologies and platforms

•            Experience in supporting tools GitHub, Jira, Teams, Confluence need to be used

•            Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloud platforms.

 

Mandatory Skillset:  Azure Databricks, PySpark and Advanced SQL

Experience Level

Mid Level

Job role

Work location
Work locationINDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI, IN
Department
DepartmentSoftware Engineering
Role / Category
Role / CategoryDevOps
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 6 years

About company

Name
NameBirlasoft Limited
Job posted by Birlasoft Limited

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You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

The candidate should have completed the required education and people who have 6 to 12 years are eligible to apply for this job. You can apply for more jobs in Pune to get hired quickly.

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