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Staff Support Engineer / Product Specialist : Cloud & Data Management

Karnataka, India (On-site)

Staff Support Engineer / Product Specialist : Cloud & Data Management

1 Month ago • 10 Years + • Data Analyst

About the job

13 skills required for this role

Test your skills to join the top 1% applicants for this job

kubernetes

spark

yarn

azure

aws

docker

sql

linux

hadoop

hbase

business-intelligence

communication

cost-optimization

Job Description

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At Acceldata, we are revolutionizing data observability in how enterprises manage and observe data by offering comprehensive solutions tailored to each organization's unique needs. Our platform integrates various technologies, enabling seamless data observability for modern enterprises.

As a Product Specialist at Acceldata, You will take on a pivotal role with higher accountability in swiftly resolving complex customer challenges across a wide range of data integrations, including Data Catalogs, Databases, Data Lakes/Lakehouses, Orchestration, SQL Query and analytics Engines, Security, Streaming, Data Warehouses, and Business Intelligence platforms. You will focus on delivering faster resolutions and ensuring seamless data operations, enabling customers to monitor, predict, and optimize their data systems for impactful business outcomes.

If you’re passionate about working in fast-paced, dynamic environments and want to be part of the cutting edge of data solutions, this role is for you.

What makes you the right fit for this position?

Experience: 10+ years of related experience in customer-facing support, post-sales, technical architecture, or consulting roles, with a focus on Cloud Native and Data Lakes. Bachelor’s degree required.
Cloud & Data Management: Proficient in cloud platforms such as AWS, GCP, and Azure, as well as Kubernetes, Docker, and various Hadoop components including HDFS, Yarn, Spark, Hive, HBase, Ranger, and Kafka. Additionally, expertise in Linux distributions such as RHEL, Ubuntu, and SUSE, ensuring comprehensive Cloud & Data Management capabilities.
Collaboration: Willingness to work with customers to understand their use cases, identify pain points, and deliver tailored solutions within the agreed service levels.
Soft Skills: Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts clearly.
Technical Aptitude: You’ll interact directly with our customers to provide operations expertise by leveraging deep knowledge & best practices in the use of Data Quality, Cost Optimization, and Data Reliability with respect to our broader Acceldata Platform.
Empathy & Calm Under Pressure: Ability to handle situations calmly, bring a structured approach to problem-solving, and demonstrate tenacity, combined with a deep technical understanding and empathy for the customer’s situation.

What is it like to work at Acceldata as Staff Product Support Engineer?

As a Product Specialist at Acceldata, you will play a crucial role in solving complex customer challenges across a wide range of integrations, including Data Catalogs, Databases, Data Lakes/Lakehouses, Orchestration, SQL Query and Analytics Engines, Security, Streaming, Data Warehouses, and Business Intelligence platforms. Your expertise will ensure seamless customer data operations, allowing them to monitor, predict, and optimize their data systems for impactful business outcomes.
You’ll work with some of the most innovative minds in data observability, collaborating across internal teams to solve complex technical problems and continually improve our support processes. This role provides invaluable experience in managing distributed, scalable environments and real-world customer issues. You’ll be given the freedom and responsibility to ensure seamless support operations for Gold and Enterprise customers, gaining deep insights into various industries and use cases.
As a trusted partner, you’ll manage support cases, troubleshoot intricate technical issues, and provide proactive solutions that empower organizations to maximize their data infrastructure. Your contributions will have a lasting impact on our customers' success and Acceldata's evolution of data observability.

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