hadoop application developer

Cognizant Technology Solutions

<div><p><b>Skill:</b> Pyspark</p><p><b>
Experience:</b> 6 to 13 years</p><p><b>
Location:</b> AIA Group - Bhubaneswar</p><p></p><p><b>
Job description</b><b> </b><b>:
</b></p><ul><li>Develop and maintain scalable data pipelines using Python and PySpark.</li><li>
Collaborate with data engineers and data scientists to understand and fulfill data processing needs.</li><li>
Optimize and troubleshoot existing PySpark applications for performance improvements.</li><li>
Write clean, efficient, and well-documented code following best practices.</li><li>
Participate in design and code reviews.</li><li>
Develop and implement ETL processes to extract, transform, and load data.</li><li>
Ensure data integrity and quality throughout the data lifecycle.</li><li>
Stay current with the latest industry trends and technologies in big data and cloud computing.</li></ul><p><b>
Qualifications</b></p><ul><li>
Proven experience as a Python Developer with expertise in PySpark.</li><li>
Strong understanding of big data technologies and frameworks.</li><li>
Experience with distributed computing and parallel processing.</li><li>
Proficiency in SQL and experience with database systems.</li><li>
Solid understanding of data engineering concepts and best practices.</li><li>
Ability to work in a fast-paced environment and handle multiple projects simultaneously.</li><li>
Excellent problem-solving and debugging skills.</li><li>
Strong communication and collaboration abilities.</li></ul></div>

Pyspark

<div><h3 class="jobSectionHeader"><b>Skill:</b><b> Pyspark</b></h3><h3 class="jobSectionHeader"><b>
Experience:</b><b> 6 to 9 years</b></h3><h3 class="jobSectionHeader"><b>
Location: AIA Kochi</b></h3><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><ul><li>
Develop and maintain scalable data pipelines using Python and PySpark.</li><li>
Collaborate with data engineers and data scientists to understand and fulfill data processing needs.</li><li>
Optimize and troubleshoot existing PySpark applications for performance improvements.</li><li>
Write clean, efficient, and well-documented code following best practices.</li><li>
Participate in design and code reviews.</li><li>
Develop and implement ETL processes to extract, transform, and load data.</li><li>
Ensure data integrity and quality throughout the data lifecycle.</li><li>
Stay current with the latest industry trends and technologies in big data and cloud computing.</li></ul></div>

Pyspark Developer

<div><p><b>Skills- AWS +Pyspark</b></p><p><b>
Experience: 4 to 9 years</b></p><p><b>
Location: AIA-Pune</b></p><p><b>
</b></p><p><b>As an AWS Data Engineer, you will design, build, and manage robust data pipelines on the AWS cloud platform. You will leverage your expertise in AWS data services and programming languages to ingest, process, transform, and store data efficiently, enabling data-driven insights and decision-making.</b></p><p><b>
</b></p><p><b>Key Responsibilities :</b></p><p><b>
</b></p><ul><li><b>Data Pipeline Development: Design, implement, and maintain scalable data pipelines using AWS services such as S3, Glue, Lambda, EMR, and Kinesis.</b></li><li><b>Data Processing and Transformation: Utilize PySpark, Spark, and SQL to perform complex data transformations and aggregations on large datasets within the AWS ecosystem.</b></li><li><b>Data Storage and Management: Design and implement data storage solutions using Amazon S3, RDS, DynamoDB, and Redshift, ensuring data quality, integrity, and accessibility.</b></li><li><b>Data Modeling and Warehousing: Develop and maintain data models to support analytics and reporting, leveraging Redshift as the data warehousing solution.</b></li><li><b>Infrastructure and Cloud Technologies: Provision and manage scalable data infrastructure using EC2, VPC, IAM, CloudFormation, and other relevant AWS services.</b></li><li><b>Performance Optimization and Monitoring: Continuously monitor and optimize data pipelines and systems using CloudWatch, identifying and resolving performance bottlenecks.</b></li><li><b>Collaboration and Knowledge Sharing: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide technical guidance.</b></li></ul><p><b>
</b></p><p><b>Qualifications :</b></p><p><b>
</b></p><ul><li><b>Proficiency in Python, SQL, PySpark, and Spark.</b></li><li><b>Strong expertise in AWS data services (S3, Glue, Lambda, EMR, Redshift, DynamoDB, RDS).</b></li><li><b>Experience with data warehousing, ETL processes, and data modeling.</b></li><li><b>Excellent problem-solving, analytical, and communication skills.</b></li></ul></div><p></p>

AWS + Pyspark

Srijan Technologies Pvt Ltd

<div><div><b>Material</b> is a global strategy, insights, design, and technology partner to companies striving for true customer centricity and ongoing relevance in a digital-first, customer-led world. By leveraging proprietary, science-based tools that enable human understanding, we inform and create customer-centric business models and experiences + deploy measurement systems &ndash; to build transformational relationships between businesses and the people they serve.</div>
<div><div>https://www.materialplus.io/</div></div><br>
<p></p>
<p><b>
Senior Developer/ Lead - Data Science</b></p>
<p>
We are looking for <b>Senior Developer/ Lead - Data Scientist</b> with strong Generative AI experience, skilled in Python, TensorFlow/PyTorch/Scikit&#8209;learn, Azure OpenAI GPT, and multi-agent frameworks like LangChain or AutoGen, with strong data preprocessing, feature engineering, and model evaluation expertise.</p>
<p><b>
Bonus</b>: familiarity with Big Data tools (Spark, Hadoop, Databricks, SQL/NoSQL) and ReactJS</p><br>
<p></p>
<p><b>
Experience: 5+ year</b></p>
<p><b>
Preferred Location: -</b> Gurgaon/ Bangalore</p>
<p><b>
Job Description: -</b></p>
<p><b>
Generative AI: </b>GenAI models (Eg.: Azure OpenAI GPT), Multi-Agent System Architecture:</p>
<ul>
<li>Proficiency in <b>Python</b> and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Experience with <b>LangChain</b>, <b>AutoGen</b>, or similar frameworks for multi-agent systems.</li>
<li>Strong knowledge of <b>Data Science</b> techniques, including data preprocessing, feature engineering, and model evaluation.</li></ul><br>
<p></p>
<p><b>
Nice to have:</b></p>
<ul>
<li>Familiarity with <b>Big Data</b> tools (e.g., Spark, Hadoop) / Databricks and databases (e.g., SQL, NoSQL).</li>
<li>Expertise in <b>ReactJS</b> for building responsive and interactive user interfaces.</li></ul><br>
<p></p>
<p><b>
What We Offer</b></p>
<ul>
<li>Professional Development and Mentorship.</li>
<li>Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified).</li>
<li>Health and Family Insurance.</li>
<li>40+ Leaves per year along with maternity &amp; paternity leaves.</li>
<li>Wellness, meditation and Counselling sessions</li>
</ul>
<p>If you are looking forward to it, kindly apply or share your resume with me at Vineet.kumar@materialplus.io</p></div>

Senior Developer/ Technical Lead - Data Scientist (Agentic AI)

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)

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

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

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