Azure Databricks Data Engineer| 5 to 8 Years| Gyansys | Hybrid

Job Description: Data Engineer (Azure Databricks & PySpark)

Position: Data Engineer
Experience: 5 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