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Open nowFirst seen 5 days ago

Azure Databricks Data Engineer| 6 to 8 Years| Gyansys | Hybrid

PradeepIT Consulting Services Pvt Ltd2,005 open roles

Where
Bangalore, Karnataka, India
Work mode
Hybrid
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Your applicationOpen nowAzure Databricks Data Engineer| 6 to 8 Years| Gyansys | HybridPradeepIT Consulting Services Pvt Ltd · Bangalore, Karnataka, India

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

Job Description: Data Engineer (Azure Databricks & PySpark)

Position: Data Engineer Experience: 6 to 8 years Primary Skills: Azure Databricks, PySpark, SQL (M) Secondary Skills: ADF (Azure Data Factory) (M) Project Exposure: Cloud migration (M) Location: Bengaluru/Hyderabad Mode of Work: Hybrid Salary : 13 lac to 17 lac Notice Period: 15 to 30 Days (M)



Databricks Engineer Job Description

Responsibilities:

  • Work as part of a global distribution team to design and implement Hadoop big data solutions in alignment with business needs and project schedules.
  • 5+ years of data warehousing/engineering, software solutions design, and development experience.
  • Code, test, and document new or modified data systems to create robust and scalable applications for data analytics.
  • Work with other Big Data developers to make sure that all data solutions are consistent.
  • Partner with the business community to understand requirements, determine training needs, and deliver user training sessions.
  • Perform technology and product research to better define requirements, resolve important issues, and improve the overall capability of the analytics technology stack.
  • Evaluate and provide feedback on future technologies and new releases/upgrades.
  • Support Big Data and batch/real-time analytical solutions leveraging transformational technologies.
  • Work on multiple projects as a technical team member or drive: User requirement analysis and elaboration Design and development of software applications Testing and build automation tools
  • Research and incubate new technologies and frameworks.
  • Experience with agile or other rapid application development methodologies and tools like Bitbucket, Jira, and Confluence.
  • Have built solutions with public cloud providers such as AWS, Azure, or GCP.

Expertise Required:

  • Hands-on experience in Databricks stack
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka, etc.)
  • Proficiency in Streaming technologies
  • Hands-on experience in Python and SQL
  • Expertise in implementing Data Warehousing solutions
  • Expertise in any ETL tool (e.g., SSIS, Redwood)
  • Good understanding of submitting jobs using Workflows, API & CLI
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