Hadoop Engineer $30,000 USD/year ^{Most roles = hourly rate x40 hrs x 50 weeks}

Are you a Hadoop expert with a deep understanding of its multifaceted environment and the ability to leverage Hadoop platforms to their maximum potential? As the world of data continues to expand, so does the complexity and potential of Hadoop.

Skyvera stands at the intersection of innovation and precision in big data solutions. Our vision is grounded in a customer-obsessed support structure. We approach the challenges of the telco sector by leveraging Hadoop platforms to deliver consistent, high-quality support to our customers.

Your role will be central to this vision by managing the delicate balance between capacity and performance of the Hadoop environment, ensuring our systems are tuned, secure, and process-efficient. You'll administer operating systems, networks, and hardware, crafting a robust and reliable ecosystem. Directing the data landscape will be under your purview — and, at the heart of it all, you'll be a key player in providing unparalleled support and upholding our service commitments.

Joining Skyvera is more than a career move; it's a commitment to excellence and innovation in the big data realm. If you're ready to be a cornerstone in this journey, we encourage you to apply!

• Administering the Hadoop environment, including the associated operating system, tools, network, and hardware
• Maintaining and optimizing the Hadoop capacity, including performance tuning, security, configuration and process scheduling
• Planning and execution of hardware and software installations as well as managing data, users, and job executions

• Getting stuck in repetitive tasks that don't tap into the full potential of the Hadoop ecosystem
• Wasting time on obsolete technologies instead of leveraging the latest tools in the Hadoop space

• Ensuring the reliability, stability, and efficiency of the Hadoop environment

• Currently based in or willing to relocate to Mumbai or Pune
• At least 2 years of experience supporting large-scale production environments with Hadoop distributions (Apache, Hortonworks, Cloudera, etc.)
• At least 2 years of experience using Hadoop monitoring tools (Cloudera Manager, Ambari, Nagios, Ganglia, etc.)
• Excellent Linux skills