hadoop engineer

INFLUX SERVICE

<p><b>Job Title:</b> Hadoop Maintenance Engineer</p><p><b>Location:</b> Mohali<br/><b>Experience:</b> 2&ndash;5 Years</p><p><b>Job Overview:</b></p><p>We are seeking a skilled <b>Hadoop Maintenance Engineer</b> to manage, monitor, and optimize our Hadoop ecosystem. The ideal candidate will have hands-on experience in maintaining <b>HDFS, Hive, and Spark</b> clusters, ensuring smooth data flow and system reliability across distributed environments.</p><p><b>Key Responsibilities:</b></p><ul><li>Perform daily monitoring, maintenance, and troubleshooting of Hadoop clusters (HDFS, Hive, Spark).</li><li>Manage cluster upgrades, patching, and performance tuning.</li><li>Ensure data reliability, availability, and security within the Hadoop ecosystem.</li><li>Diagnose and resolve cluster issues, node failures, and performance bottlenecks.</li><li>Implement data replication, backup, and recovery strategies.</li><li>Work closely with data engineering teams to optimize Hive queries and Spark jobs.</li><li>Monitor and maintain system health using tools like Ambari, Cloudera Manager, or similar.</li><li>Develop scripts for automation and system improvements (using Shell, Python, etc.).</li><li>Document processes, configurations, and incident resolutions.</li></ul><p><b>Required Skills &amp; Experience:</b></p><ul><li>2&ndash;5 years of experience in Hadoop ecosystem management.</li><li>Strong knowledge of <b>HDFS architecture</b> and file management.</li><li>Expertise in <b>Hive</b> (data warehousing, query optimization) and <b>Spark</b> (batch/stream processing).</li><li>Proficiency in <b>Linux/Unix systems</b> and shell scripting.</li><li>Familiarity with <b>Hadoop ecosystem tools</b> like YARN, Oozie, Sqoop, or Kafka (preferred).</li><li>Understanding of cluster resource management and tuning.</li><li>Experience with <b>monitoring tools</b> and <b>log analysis</b>.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience with <b>Cloudera</b> or <b>Hortonworks</b> distributions.</li><li>Knowledge of <b>cloud-based Hadoop deployments</b> (AWS EMR, Azure HDInsight, GCP Dataproc).</li><li>Strong analytical and troubleshooting skills.</li><li>Excellent communication and documentation abilities.</li></ul><p><b>Education:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.</li></ul><p>Job Types: Full-time, Permanent</p><p>Work Location: In person</p>

Hadoop Maintenance Engineer

Dehazelabs

<div><p><b>Job Title:</b> DevOps Engineer<br>
<b>Employment Type:</b> Full-time<br>
<b>Location:</b> Remote<br>
<b>Shift:</b> Night Shift</p><h2 class="jobSectionHeader"><b><br>
About the Role</b></h2><p>
We are seeking a skilled <b>DevOps Engineer</b> to join our <b>Hadoop/Big Data Infrastructure Team</b>. The role involves managing and supporting large-scale distributed systems and automating infrastructure operations across global data centers. You will play a key role in ensuring system reliability, scalability, and performance across 5000+ compute, storage, and distributed systems.</p><h2 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h2><ul><li><p>
Provide operational support for Hadoop clusters and other Big Data tools such as HBase, Scylla, Hive/Hue, Kafka, and Storm.</p></li><li><p>
Automate deployments and operations to enhance efficiency and reliability.</p></li><li><p>
Perform upgrades of Hadoop and associated tools as required.</p></li><li><p>
Fine-tune configurations using management tools such as Puppet and InfraDB (in-house Ruby on Rails CM Database).</p></li><li><p>
Orchestrate deployments and services using Ansible.</p></li><li><p>
Implement continuous integration processes following change management protocols using Git and Gerrit.</p></li><li><p>
Develop monitoring and alerting scripts using Python and Bash/Shell.</p></li><li><p>
Monitor system health using tools like Nagios, Graphite, Grafana, OpenTSDB, and Prometheus.</p></li><li><p>
Troubleshoot and optimize system and service performance.</p></li><li><p>
Collaborate with cross-functional teams, including Data Center Operations, NOC, Network, Database, and Engineering.</p></li><li><p>
Track and resolve incidents, conduct root cause analysis, and maintain detailed runbooks and documentation.</p></li></ul><p><b>
Qualifications</b></p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, or a related field.</p></li><li><p>
Proven experience in DevOps, Big Data infrastructure, or system administration.</p></li><li><p>
Hands-on expertise in Linux-based systems, automation tools, and monitoring platforms.</p></li><li><p>
Strong problem-solving and collaboration skills.</p></li></ul><p>
Compensation Range: &#8377;2.2L - &#8377;2.4L</p></div>

DevOps Engineer

IQVIA

<div><h3 class="jobSectionHeader"><b>About the Role
</b></h3><p>We are seeking a highly skilled <b>Cloudera Engineer </b>to join our Big Data team. In this role, you will design, build, and manage Hadoop clusters using Cloudera technologies, ensuring optimal performance, scalability, and security. You will collaborate with cross-functional teams to deliver robust big data solutions that power critical business insights.
</p><h3 class="jobSectionHeader"><b>Key Responsibilities
</b></h3><ul><li>Build and configure new clusters and projects involving Cloudera (CDH) technologies.
</li><li>Manage storage, performance tuning, and volume management for Hadoop clusters.
</li><li>Troubleshoot and resolve application and cluster issues, escalating when necessary.
</li><li>Handle cluster design, capacity planning, performance optimization, monitoring, and scaling.
</li><li>Perform standard system administration tasks, including user management, permissions, and upgrades.
</li><li>Monitor and resolve day-to-day cluster issues, ensuring SLA compliance.
</li><li>Support users with administrative needs and optimize job performance.
</li><li>Perform SQL queries and performance tuning across all levels.
</li><li>Collaborate with cross-functional teams to set up production environments and enable business solutions.
</li><li>Develop scripts to automate reporting and maintenance activities.
</li><li>Implement backup and recovery strategies using Cloudera Replication Manager.
</li><li>Address live performance and stability issues and prevent recurrence.
</li><li>Support data engineering efforts, ETL pipelines, and data science teams using Python and Scala.
</li></ul><h3 class="jobSectionHeader"><b>What We&rsquo;re Looking For
</b></h3><ul><li>Proven experience in Hadoop administration and Cloudera (CDH) technologies.
</li><li>Strong knowledge of cluster design, performance tuning, and troubleshooting.
</li><li>Proficiency in SQL and scripting for automation.
</li><li>Familiarity with backup/recovery strategies and operational best practices.
</li><li>Ability to support data engineering and data science teams.
</li><li>Strong problem-solving skills and ability to work under pressure.
</li></ul><h3 class="jobSectionHeader"><b>Why Join Us?
</b></h3><ul><li>Work on cutting-edge big data technologies in a collaborative environment.
</li><li>Opportunity to influence architecture and performance strategies.
</li><li>Be part of a team that values innovation, efficiency, and continuous improvement.
</li></ul><p></p><p>IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide . Learn more at https://jobs.iqvia.com</p></div>

Cloudera Engineer

Webner Solutions pvt ltd

<div></div><div><div><div><p>We are looking for an experienced <b>Hadoop Administrator</b> to design, build, and maintain our <b>Hadoop ecosystem</b> based on the <b>Open Data Platform (ODP)</b> framework. The ideal candidate will have hands-on experience in <b>the installation, configuration, tuning, and administration</b> of key Hadoop components, including <b>HDFS, YARN, Hive, Spark, Ranger, and Oozie</b>.</p>
<p>
This role involves <b>end-to-end platform setup</b>, ongoing maintenance, <b>performance optimization</b>, and <b>support for enterprise big data workloads</b>.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Install, configure, and manage Hadoop clusters and ecosystem components (HDFS, YARN, Hive, Spark, Zookeeper, Oozie, etc.) on ODP-compliant distributions.</li>
<li>Build and deploy Hadoop stacks from scratch, including hardware sizing, capacity planning, and architecture design.</li>
<li>Implement cluster high availability (HA), backup/recovery, and disaster recovery strategies.</li>
<li>Manage user access, security policies, and Kerberos/Ranger configurations.</li>
<li>Perform cluster performance tuning, troubleshooting, and log analysis to ensure system stability.</li>
<li>Monitor system health and optimize resource utilization using Ambari, Cloudera Manager, or other monitoring tools.</li>
<li>Automate cluster operations using shell scripts or Python for deployment, maintenance, and patching.</li>
<li>Collaborate with data engineering and infrastructure teams for upgrades, migrations, and platform integrations.</li>
<li>Maintain detailed documentation for architecture, configurations, and operational runbooks.</li>
</ul>
<p><b>Required Skills &amp; Experience</b></p>
<ul>
<li>5&ndash;10 years of experience in Hadoop ecosystem administration.</li>
<li>Proven experience building Hadoop clusters from scratch using ODP distributions (Hortonworks, Cloudera, or similar).</li>
<li>Strong expertise in:
<ul><li>HDFS, YARN, Hive, Spark, Zookeeper, Oozie</li>
<li>Ambari or Cloudera Manager (installation, service management, and monitoring)</li>
<li>Kerberos, Ranger, or Sentry for security and authorization.</li>
<li>Proficiency in Linux system administration, shell scripting, and configuration management.</li>
<li>Experience with performance tuning, capacity planning, and troubleshooting in production environments.</li>
<li>Familiarity with HA configurations, NameNode failover, and cluster scaling.</li>
</ul>
</li></ul><p><b>Education</b></p>
<ul>
<li><p>Regular MCA or Bachelor&rsquo;s degree in <b>Computer Science, Information Technology, Engineering</b>, or equivalent experience.</p>
</li>
</ul><p><b>Nice to Have</b></p>
<ul>
<li>Experience with cloud-based Hadoop environments (AWS EMR, Azure HDInsight, GCP Dataproc).</li>
<li>Exposure to containerized big data platforms (Kubernetes, Docker).</li>
<li>Knowledge of automation tools (Ansible, Terraform, Puppet).</li>
<li>Experience with Kafka, Airflow, or NiFi for data pipeline integration.\</li>
<li>Understanding of data governance, auditing, and monitoring best practices.</li></ul></div></div></div>
<br><p>To apply for a job, send an email to <b>companyhr@webners.com</b>. Do not forget to attach your detailed resume.</p>

Hadoop Administrator / Big Data Platform Engineer

<p>We are looking for skilled Hadoop Ecosystem Support Engineers to provide operational support and ensure the stability, performance, and availability of big data platforms. The ideal candidate will have hands-on experience managing and troubleshooting the Hadoop ecosystem &mdash; including HDFS, Hive, Spark, YARN, and other related components.</p><p>This role focuses on <b>providing support, maintenance, and resolving issues</b>.</p><p>Key Responsibilities</p><ul><li>Provide L3 production support for Hadoop ecosystem components (HDFS, Hive, Spark, YARN, Oozie, etc.).</li><li>Monitor cluster health, performance, and resource utilization using tools such as Ambari, Cloudera Manager, or Grafana.</li><li>Troubleshoot and resolve HDFS, Hive, and Spark job failures and performance issues.</li><li>Perform root cause analysis (RCA) for recurring incidents and work with engineering teams to implement fixes.</li><li>Manage user access, quotas, and security policies in Hadoop clusters.</li><li>Conduct routine maintenance tasks such as service restarts, cluster upgrades, and patch management.</li><li>Collaborate with data engineers and platform teams to ensure optimal cluster performance and reliability.</li><li>Document support procedures, incident reports, and configuration changes.</li></ul><p>Required Skills &amp; Experience</p><ul><li><b>3&ndash;8 years of experience supporting or administering Hadoop ecosystems in production.</b></li><li>Strong hands-on knowledge of:</li><li>HDFS (file system management, data balancing, recovery)</li><li>Hive (query execution, metastore management, troubleshooting)</li><li>Spark (job monitoring, debugging, performance tuning)</li><li>YARN, Oozie, and Zookeeper</li><li>Experience with cluster management tools like Ambari, Cloudera Manager, or similar.</li><li>Proficiency in Linux/Unix system administration and shell scripting.</li><li>Strong analytical and problem-solving skills with a focus on incident management and RCA.</li><li>Familiarity with Kerberos, Ranger, or other security frameworks within Hadoop.</li></ul><p>Nice to Have</p><ul><li>Exposure to cloud-based big data platforms (AWS EMR, Azure HDInsight, GCP Dataproc).</li><li>Basic understanding of Python or Scala for log analysis and automation.</li><li>Experience with Kafka, Airflow, or other data orchestration tools.</li><li>Knowledge of ticketing systems (ServiceNow, JIRA) and ITIL processes.</li></ul><p>Job Types: Full-time, Permanent</p><p>Work Location: In person</p>

Hadoop Ecosystem Support Engineers

State Street

<div><div>Job Title</div><div>
Data Engineer &ndash; Hadoop, Scala and Databricks</div><div>
Role Summary</div><div></div><div>
&amp;</div><div></div><div>
Role Description</div><div>
As Data Engineer you will</div><ul><li>
Collaborate across a variety of teams to enable our Data Platform needs and design, implement, and maintain a secure and scalable infrastructure platform spanning across AWS/Azure and our Data Center</li><li>
Own and ensure that internal and external SLA&rsquo;s meet and exceed expectations, System centric KPIs are continuously monitored</li><li>
Work on our data lake, data warehouse, and stream processing systems to create a unified query engine, multi-model databases, analytics extracts and reports, as well as dashboard and visualizations</li><li>
Design and build systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics tooling</li><li>
You will mentor other engineers and promote software engineering best practices across the organization designing systems with monitoring, auditing, reliability, and security at their core</li><li>
Come up with solutions for scaling data systems for various business needs and collaborate in a dynamic and consultative environment</li><li>
Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.</li><li>
Knowledge of a programming language - Python, Scala, or SQL</li><li>
Knowledge of end-to-end data analytics workflow</li><li>
Hands-on professional experience in Databricks</li><li>
Excellent time management and prioritization skills</li><li>
Excellent written and verbal communication</li><li>
Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)</li></ul><div>
Core/Must have skills</div><ul><li>
Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.</li><li>
Databricks Platform Expertise (Notebooks, Clusters, Jobs, Delta Lake)</li><li>
Unity Catalog and RBAC configuration</li><li>
Programming &amp; Data Processing using (Scala, Python, PySpark, SQL)</li><li>
Apache Spark optimization techniques</li><li>
Azure Services (Data Factory, Blob Storage, Azure Databricks)</li><li>
CI/CD with Azure DevOps</li><li>
Ability to debug and optimize PySpark/SQL code</li><li>
Real-world coding challenge performance</li><li>
Communication and articulation of technical concepts</li><li>
Secure Coding principles in Databricks, Data Governance and Compliance standards</li><li>
Strong end-to-end ownership and a good sense of urgency to enable proper self-prioritization</li></ul><ul><li>
Minimum 8+ years of Databricks experience using Azure Cloud</li><li>
Minimum 5+ years of hands on expertise in Hadoop and Scala or PySpark</li><li>
Practical experience with Data Engineering and the accompanying DevOps &amp; DataOps workflows</li></ul><div>
Good to have skills</div><ul><li>
Certification on Azure/AWS</li></ul><ul><li>
Certification on Hadoop, Scala and Databricks</li></ul><ul><li>
Familiarity with SDLC and Agile methodologies</li></ul><div>
Work Schedule</div><div>
Hybrid</div><div></div><div>
Keywords (If any)</div><div>
Databricks</div><div></div><div><div>
Why this role is important to us</div><div>
Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We&rsquo;re driving the company&rsquo;s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.</div><div></div><div>
We offer a collaborative environment where technology skills and innovation are valued in a global organization. We&rsquo;re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.</div><div></div><div>
Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.</div><div></div><div>
About State Street</div><div></div><div>
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we&rsquo;re making our mark on the financial services industry. For more than two centuries, we&rsquo;ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data &amp; analytics, investment research &amp; trading and investment management to institutional clients.</div><div></div><div>
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You&rsquo;ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.</div><div></div><div>
Inclusion, Diversity and Social Responsibility. We truly believe our employees&rsquo; diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.</div><div>
State Street is an equal opportunity and affirmative action employer.</div><div></div><div>
Discover more at StateStreet.com/careers</div></div><div></div><div>
About State Street</div><div></div><div>
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.</div><div></div><div>
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you&rsquo;ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.</div><div></div><div>
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.</div><div></div><div>
Discover more information on jobs at <div>StateStreet.com/careers</div></div><div></div><div>
Read our <div>CEO Statement</div></div></div>

Data Engineer (Hadoop, Scala and Databricks) - Manager

Neurealm

<div><div><div><div><div><div><p>Chennai, Tamil Nadu, India</p></div></div></div><div><p><br>
</p><p>
</p></div></div><div><div><div><div>Department</div><div>
Data Science/Big Data Mining</div></div><div><div>
Job posted on</div><div>
Oct 22, 2025</div></div><div><div>
Employment type</div><div>
Full Time Employee</div></div></div></div></div><div></div><div><div><div><div><div>
A Data Engineer Job Description Samples &amp; Tips in 2025A data engineer designs, builds, and maintains the data infrastructure, such as databases and data pipelines, that collect, store, and process raw data into usable information for data scientists and business analysts.</div></div></div></div></div></div>

Sr. Databricks Engineer

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