Join a team responsible for improving the availability and reliability of Hadoop environments. Contribute to troubleshooting and support in a collaborative environment.
You will join a team of highly skilled hadoop engineers who are responsible for delivering Acceldata’s support services in vendor-agnostic environments. As a Site Reliability Engineer, you will actively learn from experienced team members, contributing to improving the availability, scalability, performance, and reliability of our products and our customers' data lake environments.
You will be expected to listen actively to customer concerns and demonstrate empathy in providing solutions. This is an exciting opportunity to grow your technical, business, and interpersonal skills in a dynamic and collaborative environment.
What makes you the right fit for this position?
- 5+ years of experience in working with distributed systems, cloud environments, or data management services is preferred.
- Good understanding of Hadoop technologies, including HDFS, YARN, and Hive/Impala. Working knowledge of Kafka, NiFi, Ambari, and Cloudera Manager.
- Experience operating Linux (configure, tune, and troubleshoot both RedHat and Debian-based distributions).
- Exposure to data security and data engineering principles in Hadoop environments is a plus.
- Assist in troubleshooting issues across the entire stack – hardware, software, applications, and networks.
We’re looking for someone who can:
- Work alongside experienced SREs to improve the availability, scalability, and reliability of enterprise production services, both for Acceldata products and customers’ data lake environments.
- Support implementation and troubleshooting for Hadoop data lake clusters under the guidance of senior engineers.
- Learn to implement, stabilize, and tune Hadoop ecosystems in vendor-agnostic environments.
- Provide technical support for Hadoop Data Lake clusters across multiple data centers.
- Assist in troubleshooting issues across the entire stack – hardware, software, applications, and networks.
This role requires flexibility to work in rotational shifts, based on team coverage needs and customer demand.
Candidates should be comfortable supporting operations in a 24/7 environment and be willing to adjust their working hours accordingly.
Similar Jobs
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The VP, Data and Analytics Officer will lead data strategy, analytics, and innovation across Asia, driving impactful insights and business decisions.
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The role involves managing program conflicts, facilitating communication across programs, process mapping, conducting quality assurance deep dives, and optimizing resource management, ensuring alignment and efficiency in financial transformation projects.
Top Skills:
Azure DevopsClarityMS OfficeTableau
Artificial Intelligence • Edtech • Mobile • Natural Language Processing • Productivity • Software
Lead the engineering team focusing on the data platform's architecture and scaling, ensuring reliability and performance while mentoring engineers and collaborating with cross-functional teams.
Top Skills:
AWSAzureEltETLGCPJavaScriptNode.jsReactSpark
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
