Big Data Sr. Developer & Architect

US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website

We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, sets the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well.

Keeping the same intent in mind, we would like you to consider the job opening with US Tech Solutions that fits your expertise and skillset.

Requirements:

• 10+ years of relevant experience or equivalent combination of education and work experience
• Undergraduate or Graduate degree preferred
• Very strong communication and presentation skills

Preferences:

• Strong ability to troubleshoot issues, problem solve, and multi-task
• Hortonworks Certified Hadoop Administrator
• Hortonworks Certified Hadoop Developer

Preferences:

• Hortonworks Certified Hadoop Administrator
• Hortonworks Certified Hadoop Developer

Responsibilities:

• Very strong and hands-on experience with Hadoop (Hortonworks, Cloudera) and all its eco-system technologies (Hive, HBase, Impala, and Spark).
• Experience with Teradata Hadoop appliance or relevant data migration experience is highly desired.
• Lead and assist in the evolving design and implementation of solutions for multiple large data warehouses with a solid understanding of cluster and parallel architecture, as well as high-scale or distributed RDBMS and/or knowledge on No
  
  SQL platforms.
• Ability to interact with executive stake holders and drive the strategy for the Hadoop platform.
• In-depth experience in being able to setup and configure Hadoop clusters and its eco-system technologies.
• In-depth and hands-on experience in coding, developing, testing, and deployment of Hadoop and Big Data solutions using JVM based languages (Scala, Java).
• Very strong background in Linux operating system.
• Clearly able to document requirements, design and testing specifications.
• Ability to write code with scripting languages like Python.
• Strong experience with data visualization and reporting tools.