hadoop developer

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

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

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

AFFINITY GLOBAL ADVERTISING

<div><div><div><b>Responsibilities</b></div><div></div><ul><li><div><br>
Build Data applications with high accuracy and performance across traditional and distributed computing platforms.</div></li><li><div>
Design, build, and maintain high performance, reusable, and reliable code quality and features being delivered efficiently and on-time. Document everything.</div></li><li><div>
Develop database processes, gather, and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries in MySQL, handle data cloud etc.).</div></li><li><div>
Administer data processing workflows associated with tools like MySQL, Oozie, Zookeeper, Sqoop, Hive, Impala for data processing across the distributed platform.</div></li><li><div>
Work closely with our engineering team to integrate your amazing innovations and algorithms into our production systems.</div></li><li><div>
Support business decisions with ad hoc analysis as needed and troubleshoot production issues and identify practical solutions.</div></li><li><div>
Routine check-up, back-up and monitoring of the entire MySQL and Hadoop ecosystem.</div></li><li><div>
Take end-to-end responsibility of the Traditional Databases (MySQL), Big Data ETL, Analysis and processing life cycle in the organization and manage deployments of bigdata clusters across private and public cloud platforms.</div></li></ul><div></div><div><b><br>
Required Skills</b></div><ul><li><div>
4+ years of experience with SQL (MySQL) a must.<br>
2+ years of Hands-on experience working with Cloudera Hadoop Distribution platform and Apache Spark.</div></li><li><div>
Strong understanding of full dev life cycle, for backend database applications across RDBMS and distributed cloud platforms.</div></li><li><div>
Experience as a Database developer writing SQL queries, DDL/DML statements, managing databases, writing stored procedures, triggers and functions and knowledge of DB internals.</div></li><li><div>
Knowledge of database administration, performance tuning, replication, backup, and data restoration.</div></li><li><div>
Comprehensive knowledge of Hadoop Architecture and HDFS, to design, develop, document and architect Hadoop applications. Working knowledge of SQL, NoSQL, data warehousing &amp; DBA along with Map-Reduce, Hive, Impala, Kafka, HBase, Pig, and Java.</div></li><li><div>
Experience processing large amounts of structured and unstructured data, extracting, and transforming data from remote data stores, such as relational databases or distributed file systems.</div></li><li><div>
Working expertise with Apache Spark, Spark streaming, Jupyter Notebook, Python or Scala programming.</div></li><li><div>
Excellent communication skills, ability to tailor technical information for different audiences. Excellent teamwork skills, ability to self-start, share insights, ask questions, and report progress.</div></li><li><div>
Working knowledge of the general database architectures, trends, and emerging technologies. Familiarity with caching, partitioning, storage engines, query performance tuning, indexes, and distributed computing frameworks.</div></li><li><div>
Working knowledge &amp; understanding of data analytics or BI tools - like looker studio, Power BI, or any other BI tool is a must.</div></li></ul><div></div><div><b><br>
Additional Desired Skills</b></div><ul><li><div>
Adequate exposure to Linux environment and file system.</div></li><li><div>
Exposure to handling large datasets (billions of records) is a plus.</div></li><li><div>
Excellent communication skills, ability to tailor technical information for different audiences.</div></li><li><div>
Excellent teamwork skills, ability to self-start, share insights, ask questions, and report progress.</div></li><li><div>
Strong enthusiasm in solving messy problems with good solution design skills.</div></li><li><div>
Adequate experience with data analysis or software development in a Unix-based system.</div></li><li><div>
Ability to grasp emerging technical standards and apply in right direction</div></li></ul><div></div><div><div><b><br>
About Affinity:</b></div><div>
Affinity is an ad-tech company which creates user engagement products (branding and performance) for digital media. It is in the business of creating sustainable and scalable advertising/media products with special attention to user experience. Established in 2006, Affinity is a 400+ employee company that operates 7 business units, namely - mCanvas, Siteplug, VEVE, AdopsOne, Yield Solutions , Nucleus-Links and Affinity Germany . For more information, visit www.affinity.com.</div></div></div></div><div></div>

Sr. Software Engineer, Database (VEVE)

<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

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Not Applicable
<p></p><p><b>Specialism
</b></p>Data, Analytics &amp; AI
<p></p><p><b>Management Level
</b></p>Senior Associate
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
<br>
<br>
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
<p></p><p>Why PWC
</p><p>At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
</p><p>At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
</p><p></p><p>Responsibilities:
</p><p>&middot; Total Experience: 3 to 8 years &middot; Languages: Scala/Python 3.x/Pyspark &middot; Ability to design and build Python-based code generation framework and runtime engine &middot; Spark SQL, Spark Streaming in Python &middot; Hands on experience in writing PySpark codes
</p><p>Mandatory skill sets:
</p><p>PySpark, Python, Hadoop
</p><p>Preferred skill sets:
</p><p>PySpark, Python, Hadoop
</p><p>Years of experience required:
</p><p>3-8 Years
</p><p>Education qualification:
</p><p>BE, B.Tech, MCA, M.Tech
</p><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required: Bachelor of Engineering
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p>PySpark
<p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p>Not Specified
<p></p><p><b>Available for Work Visa Sponsorship?
</b></p>No
<p></p><p><b>Government Clearance Required?
</b></p>No
<p></p><p><b>Job Posting End Date</b></p></div><p></p>

IN-Senior Associate_PySpark Developer_Data & Analytics_Advisory_PAN India

Prodapt Solutions

<div>Overview:<div></div><p><br>
We are looking for a highly skilled Big Data Engineer with extensive experience in Spark and Scala to join our team. The ideal candidate will play a crucial role in designing, developing, and optimizing large-scale data processing systems. You will work closely with data scientists, analysts, and other stakeholders to deliver high-quality data solutions.</p>
Responsibilities:
<p><b>
Key Responsibilities: -</b></p><ul><li>
Design, develop, and maintain scalable data pipelines using Apache Spark and Scala.</li><li>
Collaborate with cross-functional teams to understand data requirements and deliver data solutions that meet business needs.</li><li>
Optimize Spark jobs for performance and cost-efficiency in a distributed computing environment.</li><li>
Implement best practices for data modeling, ETL processes, and data governance.</li><li>
Monitor and troubleshoot data processing workflows to ensure data integrity and availability.</li><li>
Work with cloud platforms (AWS, Azure, or GCP) to implement big data solutions.</li><li>
Stay up to date with industry trends and emerging technologies in big data and analytics.</li></ul><div><div>
</div></div><br>
<div></div>
Requirements:
<ul><li>7-10 years of experience in Big Data technologies, with a strong focus on Apache Spark and Scala.</li><li>
Proficiency in data processing frameworks (Hadoop, Spark) and languages (Scala, Java).</li><li>
Experience with data warehousing solutions (Snowflake, Redshift, etc.) and SQL.</li><li>
Knowledge of data modeling, ETL processes, and data visualization tools (Tableau, Power BI).</li><li>
Familiarity with cloud services (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).</li><li>
Strong analytical skills and the ability to work with large datasets.</li><li>
Excellent communication and teamwork skills.</li></ul></div><div></div>

BigData- Spark/Scala

Search 3149+ Hadoop developer jobs near you this October. New roles added regularly across leading industries. Apply today.