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Senior Big Data Architect

2 months ago

Bengaluru, Karnataka, India Visionyle Solutions Full time

Join Visionyle Solutions as a Senior Big Data Architect and take on the exciting challenge of designing and implementing cutting-edge big data solutions. Expected Salary: $120,000 - $150,000 per year.

About the Role:

In this role, you will be working with our globally distributed team to develop innovative Hadoop-based solutions that meet business needs and project schedules. As a senior member of our team, you will be responsible for leading the design and implementation of big data systems, collaborating with other developers to ensure consistency, and providing technical expertise to support the growth of our analytics technology stack.

Responsibilities:

  1. Lead the Design and Implementation of Big Data Systems: Collaborate with cross-functional teams to design and implement scalable big data systems using Hadoop, Spark, and other technologies.
  2. Technical Leadership: Provide technical guidance and mentorship to junior team members, ensuring they have the skills and knowledge needed to excel in their roles.
  3. Collaboration and Communication: Work closely with other teams, including software development, product management, and customer success, to ensure seamless delivery of big data solutions.
  4. Technology Research and Innovation: Conduct research on emerging big data technologies and trends, identifying opportunities for innovation and improvement within our organization.
  5. Testing and Quality Assurance: Develop and execute comprehensive testing plans to ensure the quality and reliability of big data systems.

Requirements:

  • 5+ Years of Experience: Proven experience in designing and implementing big data systems using Hadoop, Spark, and other technologies.
  • Hands-on Experience: Hands-on experience with Databricks, AWS, Azure, or other cloud providers, as well as streaming technologies like Kafka and Flink.
  • Programming Skills: Strong programming skills in languages such as Python, SQL, and Java.
  • ETL Tool Expertise: Experience with ETL tools like SSIS and Redwood.
  • Agile Methodologies: Familiarity with agile methodologies and tools like Bitbucket, Jira, and Confluence.