How much salary can I expect as a Lead - Azure Databricks in Pradeepit Global Consulting Private Limited in Bengaluru/Bangalore?

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

What is the eligibility criteria to apply for Lead - Azure Databricks in Pradeepit Global Consulting Private Limited in Bengaluru/Bangalore?

The candidate should have completed the required education and people who have 8 to 13 years are eligible to apply for this job. You can apply for more jobs in Bengaluru/Bangalore to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

Who can apply for this job?

Both Male and Female candidates can apply for this job.

Is it a work from home job?

No, it's not a work from home job and can't be done online. You can explore and apply for other work from home jobs in Bengaluru/Bangalore at apna.

Are there any charges or deposits required while applying for the role or while joining?

No work-related deposit needs to be made during your employment with the company.

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Go to the apna app and apply for this job. Click on the apply button and call HR directly to schedule your interview.

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Lead - Azure Databricks

Pradeepit Global Consulting Private Limited

Lead - Azure Databricks

Pradeepit Global Consulting Private Limited

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 8 years

Job Description

Azure Databricks

Position: Lead - Azure Databricks

Overall IT experience: 8 to 13 years

Primary Skills: Azure Databricks, Hadoop, Hive, Pig, Impala, ETL, Data warehouse

Secondary Skills: U-SQL, Spark, Scala, Python

Work Location: Bengaluru, Hyderabad

Notice Period: 0 to 30 Days

Essential experience:

Experience in building ETL / data warehouse transformation processes Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably Databricks). Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) Evaluating the performance and applicability of multiple tools against customer requirements Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. Coding complex U-SQL, Spark (Scala or Python). T-SQL Developing Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks)