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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Knowledge of further Cloud technologies (Redshift, S3, EC2, EMR, Talend/Pentaho/Snowflake.
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5 years of experience in integration design and operationalization (REST APIs, Kafka, Golden Gate, ETL, Snowflake) 7+ years of experience supporting Pharmaceutical content management solutions and integration (Authoring, Submissions, Archival, TMF, Quality, DAM, PLM.
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6+ years of experience supporting Pharmaceutical content management solutions and integration (Authoring, Submissions, Archival, TMF, Quality, DAM, PLM) 3-5 years of experience architecting digital automation solutions leveraging BPM, RPA, NLP and ML platforms and/or services.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience in implementing data pipelines using ETL and ELT technologies such as Apache Kafka and Apache Nifi. Experience with two or more vendors in any of the following areas including SQL Server, Oracle 11g, MySQL, SQL Data Warehouse Appliance, Oracle Exadata, Netezza, Teradata,Tableau, Qlikview, R, Oracle Endeca, Oracle OBIEE, SAP Business Objects, SAS and other Analytics Vendors with BI components.
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Job Title – Sr. Java Full Stack Developer (Java, Angular & Kafka)Loc: Ahmedabad/PuneWe are currently implementing a legacy modernization initiative for end-to-end Securities Trading System for our prestigious client in investment banking space which would positively impact the way client does the business in years to come.
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Java Full stack developer, Angular, Microservices, AWS, Kafka, ? Java Full stack developer, Angular, Microservices, AWS, Kafka, ? Experience in developing, debugging and maintaining with the technologies and frameworks such as Java, J2EE, Microservices, Spring Boot, Spring Cloud, Angular, Javascript and Rest API.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Knowledge of big data technologies such as Hadoop, Spark, and Kafka. Familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras. We are seeking an AI Engineer with experience in Python, Node.js, React, and AWS Cloud Foundation to join our team.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Work on BigData migration projects i.e. moving data from RDBMS to HIVE, stream data through Kafka to DataLake, Pulling data using API into Hive using Big Data tools. Require five years of experience in job offered, SQA Engineer, Sr Software QA Engineer, Senior Test Engineer, SW consultant or related.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Strong hands-on experience building event driven architecture using Kafka. Strong experience with distributed computing frameworks such as Apache Spark, specifically PySpark. Hands-on experience building data pipelines on AWS using Lambda, SQS, SNS, Athena, Glue, EMR.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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5+ years hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Scala) A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor. Experience with AWS Cloud Foundation and Docker. Bachelor's in Computer Science, Artificial Intelligence, or a related field.
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Hands-on experience with ETL (Extract-Transform-Load) tools (e.g. Informatica, Talend, Pentaho) 5+ years of experience working on cloud platforms - Pivotal Cloud Foundry and Public Cloud AWS/Azure/Google Cloud.
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At least 4 years’ experience programming with Java, Amazon Web Services (AWS serverless architecture), Python, Micro Services, APIs’, ETL, Git, Docker, Kubernetes (EKS), Messaging (Kafka), and JIRA.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management, and data management.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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AWS-Certified Solutions Architect Preferred. Microsoft-Certified Azure Architect. Experience with Veeva Vault and Vault-based integrations. Capture architecture and design information and decisions using J&J-standard tools (Lean IX, Draw-IO, AMT, Confluence, MS Teams.
ExpandApply NowActive JobUpdated 8 days ago
kafka job in Woodbridge, NJ
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One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).