acceldata

Associate Product Support Engineer

Reposted 18 Days Ago

Be an Early Applicant

2 Locations

Remote or Hybrid

Junior

Software

The Role

The Associate Product Support Engineer will support Hadoop data lake operations, troubleshoot issues across the tech stack, optimize performance, assist in migrations, and provide customer support in a 24/7 environment.

Summary Generated by Built In

ABOUT US

Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products.

Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products.

Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.

About the Role

Acceldata is seeking a high-energy Associate Product Support Engineer to join our elite team of Hadoop and Data Operations specialists. This role is designed for a junior professional looking to master the complexities of large-scale distributed systems.

You will be responsible for ensuring the health of vendor-agnostic data lake environments, assisting with complex migrations, and providing expert-level troubleshooting for our global customers. This role offers a steep learning curve and the opportunity to work alongside senior engineers to stabilize and optimize high-throughput data pipelines.

Key Responsibilities

Cluster Operations: Support the implementation, stabilization, and tuning of Hadoop data lake clusters (HDFS, YARN, Hive/Impala) under the guidance of senior engineers.
Troubleshooting: Assist in diagnosing issues across the entire stack, including hardware, software, applications (Spark, NiFi), and networks.
Performance Tuning: Participate in deep-dive analysis to optimize data processing jobs, aiming for low-latency and high-throughput performance.
Migration Support: Provide dedicated support during and after migrations to ensure system reliability and prompt resolution of evolving technical challenges.
Customer Advocacy: Listen actively to customer concerns, demonstrating empathy while providing technical solutions in a 24/7 global support environment.
Deployment: Assist with onboarding deployments of Acceldata products.

Technical Requirements

Foundation: 1–3 years of experience in distributed systems, cloud environments, or data management services.
Hadoop Stack: Good understanding of HDFS, YARN, and Hive/Impala. Working knowledge of Kafka, NiFi, and Cloudera Manager is a plus.
Linux Proficiency: Strong command-line skills; ability to configure and troubleshoot RedHat and Debian-based distributions.
Scripting: Experience with scripting languages such as Python, Bash, or Scala for automation and debugging.
Education: A Bachelor’s or Master’s degree in Computer Science or a related technical field.

Operational Expectations

Shift Work: This role requires flexibility to work in rotational shifts to support our global 24/7 operations.
Collaboration: A proactive team player who can communicate complex technical issues clearly to both internal engineering teams and external customers.

Acceldata is an equal opportunity employer

At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.

Life @ Acceldata

#LifeAtAcceldata is all about working with some of the best minds in the industry and experiencing a culture that values an ‘out-of-the-box’ mindset. If you want to push boundaries, learn continuously and grow to be the best version of yourself, Acceldata is the place to be!

We also believe in providing our employees with the right tools and resources to help them excel at their job.

What should you know about joining Acceldata? 

At Acceldata, each job and role serves a purpose towards our business goals. You’ll have opportunities to make an immediate impact on mission-critical projects as you work with highly capable and ambitious peer groups.

Skills Required

1-3 years of experience in distributed systems, cloud environments, or data management services
Good understanding of HDFS, YARN, and Hive/Impala
Strong command-line skills in Linux
Experience with scripting languages like Python, Bash, or Scala
Bachelor's or Master's degree in Computer Science or related field

View all jobs at acceldata

View acceldata Profile

Report Job

Am I A Good Fit?

beta

Get Personalized Job Insights.

Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company

HQ: Campbell, CA

226 Employees

Year Founded: 2018

What We Do

Founded in 2018, Campbell, CA-based Acceldata has developed the world's first enterprise data observability platform to help enterprises build and operate great data products. Acceldata's solutions have been embraced by global customers, such as Dun & Bradstreet, Verisk, Oracle, PubMatic, PhonePe (Walmart), and many more. Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, and Emergent Ventures. Contact us to learn about the benefits of data observability.