Big Data Engineer with Devops Expert
2 weeks ago
At Damco Solutions, we're seeking a highly skilled Big Data Engineer with Devops expertise to join our team.
We offer an attractive salary of approximately ₹25,00,000 - ₹40,00,000 per annum, depending on experience and qualifications.
Job Description:
The ideal candidate will have about 6-11 years of experience in building highly scalable business applications involving large complex data flows and huge amounts of data. They must be proficient in Hadoop, Hive, Spark with Scala, with good experience in performance tuning and debugging issues.
A strong background in cloud providers such as AWS or Azure is essential, with hands-on experience in designing and developing Big Data projects. Familiarity with functional programming and OOP concepts, SOLID principles, design patterns for developing scalable applications is also required.
Responsibilities:
- Create and maintain optimal data pipeline architecture
- Assemble large complex data sets that meet functional/non-functional business requirements
- Identify design and implement internal process improvements: automating manual processes, optimizing data delivery, coordinating to re-design infrastructure for greater scalability
- Work with stakeholders including Executive Product Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
- Ensure data separation and security
- Collaborate with data and analytics experts to enhance functionality in our data systems
- Support PROD systems
Qualifications:
- About 6-11 years of experience with at least 3 years relevant experience in Big Data
- Experience in building highly scalable business applications involving large complex data flows and huge amounts of data
- Proficiency in Hadoop, Hive, Spark with Scala, with good experience in performance tuning and debugging issues
- Strong background in cloud providers such as AWS or Azure
- Familiarity with functional programming and OOP concepts, SOLID principles, design patterns for developing scalable applications
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