- 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 recent 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
📌 Azure Databricks Data Engineer| 5 to 8 Years| Gyansys | Hybrid (Bengaluru)
🏢 PradeepIT Consulting Services
📍 Bengaluru
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