Key information for Hadoop Architect openings at Indecomm Global Services, Bangalore

• Must have: Hadoop Stack (Hadoop, HDFS, Hive, Spark, Scala), machine / deep learning
• Optional : ELK Stack (Elastic Search, Logstash, Kibana)
• Experience: 10-14 years
• Mode Of Hire: Permanent
• Location: Bangalore
• Job code: Java Developers openings at Indecomm Global Services Bangalore

Essential Skills for Hadoop Architect openings at Indecomm Global Services, Bangalore

• Proficiency in Hadoop Stack (Hadoop, HDFS, Hive, Spark, Scala) and / or other BIG Data technology.
• Should have demonstrated expertise in machine / deep learning, and used various complex algorithms related to NLP, Recommendation Systems, Scoring, etc.
• Good knowledge on different Neural Networks (RNN, CNN), Tensor Flow, NeuMF, Google Cloud API, etc.
• Ability to manage Hadoop cluster environment, and take preventive measures as required.
• Knowledge of ELK Stack (Elastic Search, Logstash, Kibana) will be desirable.
• Demonstrated expertise with software architecture & design, Data structures and Algorithms.

About The Company:

https://www.indecomm.net

How to apply for the Hadoop Architect openings at Indecomm Global Services, Bangalore?

• For more information upload your resume in the below section with proper job code, subject, and details.
• Other openings can be checked in Job Vacancies
• Note: Only shortlisted candidates will get a call for interview.

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The post Hadoop Jobs – Hadoop Architect Openings at Indecomm Global Services Bangalore appeared first on JumpWhere.

Key information for Hadoop Architect openings at Indecomm Global Services, Bangalore

• Must have: Hadoop Stack (Hadoop, HDFS, Hive, Spark, Scala), machine / deep learning
• Optional : ELK Stack (Elastic Search, Logstash, Kibana)
• Experience: 10-14 years
• Mode Of Hire: Permanent
• Location: Bangalore
• Job code: Java Developers openings at Indecomm Global Services Bangalore

Essential Skills for Hadoop Architect openings at Indecomm Global Services, Bangalore

• Proficiency in Hadoop Stack (Hadoop, HDFS, Hive, Spark, Scala) and / or other BIG Data technology.
• Should have demonstrated expertise in machine / deep learning, and used various complex algorithms related to NLP, Recommendation Systems, Scoring, etc.
• Good knowledge on different Neural Networks (RNN, CNN), Tensor Flow, NeuMF, Google Cloud API, etc.
• Ability to manage Hadoop cluster environment, and take preventive measures as required.
• Knowledge of ELK Stack (Elastic Search, Logstash, Kibana) will be desirable.

About The Company:

https://www.indecomm.net

How to apply for the Hadoop Architect openings at Indecomm Global Services, Bangalore?

• For more information upload your resume in the below section with proper job code, subject, and details.
• Other openings can be checked in Job Vacancies
• Note: Only shortlisted candidates will get a call for interview.

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Show JUMPWHERE some love:

• Like our facebook page – https://www.facebook.com/JumpWhere/
• Subscribe to youtube channel – https://www.youtube.com/c/jumpwhere
• Follow on Instagram – https://www.instagram.com/jumpwhere/ or @jumpwhere

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Mode of Hire: Permanent
Experience: 7+ years

What makes us different from other consulting firms?

Saggezza is able to help clients achieve business goals with the right blend of emerging technologies, driven resources, geographies and methodologies to achieve maximum impact. Our Company values – Growth and Advancement, Value and Quality, Success and Sustainability, Integrity and Ethics and Respect ensure lasting partnerships that will stand the test of time.

What do we offer?

We offer global opportunities, a collaborative culture, endless possibilities, and a fast-paced work environment. Employees are experts in a variety of technologies and disciplines. The Saggezza culture and employees are innovative, dependable, entrepreneurial, and adaptable. We offer competitive compensation and comprehensive benefits. Our consultants not only have the opportunity to contribute significantly to client success, but also play an integral role in helping us build and manage our business.

Job Description: Sr. BIG Data Architect / Lead BIG Data Developer (Multiple positions)

Looking for Big-Data architects that will lead the design and implementation of our next generation of best in class solutions. As a dynamic and talented Big Data architect, you will have proven hands on experience leading architectural design of large scale, high availability Big Data solutions. You will understand the technical opportunities and limitations of the various technologies at your disposal and will be able to specify the tailored hardware for the recommended solutions. Along with the immediate architecture, you will have an innate understanding of how to provision, monitor, support, evolve, and evangelize the chosen technology stack(s). The focus of this position is to provide solutions within the Hadoop environment using technologies such as HDFS, Spark, Storm, Kafka, MapReduce, Pig, Hive, HBase, ZooKeeper and other Big Data technologies for both batch oriented and real-time analytics.

What you’ll do:

• Responsible for setup, administration, monitoring, tuning, optimizing, governing Large Scale Hadoop Cluster and Hadoop components :On-Premise/Cloud to meet high availability/uptime requirements.
• Design & implement new components and various emerging technologies in Hadoop Echo System, and successful execution of various Proof-Of-Technology (PoT) / Proof-Of-Concepts (PoC)
• Collaborate with various cross functional teams: infrastructure, network, database, application for various activities: deployment new hardware/software, environment, capacity uplift etc.
• Work with various teams to setup new Hadoop users, security and platform governance
• Create and executive capacity planning strategy process for the Hadoop platform
• Work on cluster maintenance as well as creation and removal of nodes using tools like Ganglia, Nagios, Ambari etc.
• Performance tuning of Hadoop clusters and various Hadoop components and routines.
• Monitor job performances, file system/disk-space management, cluster & database connectivity, log files, management of backup/security and troubleshooting various user issues.
• Harden the cluster to support use cases and self-service in 24×7 model and apply advanced troubleshooting techniques to on critical, highly complex customer problems
• Contribute to the evolving Hadoop architecture of our services to meet changing requirements for scaling, reliability, performance, manageability, and price.
• Setup monitoring and alerts for the Hadoop cluster, creation of dashboards, alerts, and weekly status report for uptime, usage, issue, etc.
• Design, implement, test and document performance benchmarking strategy for platform as well for each use cases
• Act as a liaison between the Hadoop cluster administrators and the Hadoop application development team to identify and resolve issues impacting application availability, scalability, performance, and data throughput.
• Research Hadoop user issues in a timely manner and follow up directly with the customer with recommendations and action plans
• Work with project team members to help propagate knowledge and efficient use of Hadoop tool suite and participate in technical communications within the team to share best practices and learn about new technologies and other ecosystem applications
• Automate deployment and management of Hadoop services including implementing monitoring
• Drive customer communication during critical events and participate/lead various operational improvement initiatives

What you need to succeed

• Bachelor’s Degree or higher in Computer Science or equivalent
• 2+ Years of strong Hadoop/Big Data experience with an overall industry experience of 7+ years at various levels with good amount of in Java programming.
• Able to deploy Hadoop cluster, add and remove nodes, keep track of jobs, monitor critical parts of the cluster, configure high availability, schedule and configure and take backups.
• Strong Experience with Hadoop ETL/Data Ingestion: Sqoop, Flume, Hive, Spark, Hbase
• Experience in Real Time Data Ingestion using Kafka, Storm, Spark or Complex Event Processing (CEP)
• Experience in Hadoop Data Consumption and Other Components: Hive, Hue HBase, Phoenix, Spark, Mahout, Pig, Impala, Presto
• Experience monitoring, troubleshooting and tuning services and applications and operational expertise such as good troubleshooting skills, understanding of system’s capacity, bottlenecks, and basics of memory, CPU, OS, storage, and networks.
• Experience with open source configuration management and deployment tools such as Puppet or Chef and Scripting using Python/Shell/Perl/Ruby/Bash/PowerShell
• Good understanding of distributed computing environments

Job Code: Big Data Architect Saggezza

Job Location: Asia Pacific – Bangalore, karnataka, India

About the Company:

Saggezza is a global technology services company that provides consulting, systems integration, and outsourcing solutions. Our mission is to be the trusted Technology Services partner of the world’s leading corporations in key industry verticals. Our name is derived from the Latin root word Sagacious (insightful, farsighted, and wise). Hence our tagline – Technology with Wisdom.
Saggezza is actively looking for consultants with experience in the following service offerings:
• Modernization (Process, Technology & Change Management Consulting)
• Mobility (UX & Digital Services)
• Monetization (Analytics & Customer Insight)

How to apply for this Job Opening?

For more information upload your resume here with proper job code, subject and details.
Other openings can be checked in Job Vacancies
Note: Only shortlisted candidates will get a call for interview.

The post Saggezza is hiring Big Data Architect appeared first on JumpWhere.

Job Description for Big Data Engineer:

Looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.

1)    Big Data Developer

Responsibilities for Big Data Development:

• Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
• Monitoring performance and advising any necessary infrastructure changes
• Defining data access policies
• Defining data retention policies
• Integrating with other  platforms

Skills and Qualifications for Big Data Development:

• Should have good understanding of  DS concepts like graphs etc..
• Proficient understanding of distributed computing principles
• Proficiency with Hadoop v2, MapReduce, HDFS
• Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
• Good knowledge of Big Data querying tools, such as Pig, Hive, etc
• Experience with integration of data from multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O will be a plus
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Experience with Cloudera/MapR/Hortonworks

Experience: 5 – 10 Years

Job Location: Bangalore

2)    Big Data QA

Skills and Qualifications for Big Data QA:

• Experience in validating enterprise class SW on Hadoop based eco system with Kafka/Storm/Hive/oozie components
• Experience configuring/installing/debugging Hadoop infrastructure tools
• Good knowledge of Java & Python for automation.

Experience: 5 – 10 Years

Job Location: Bangalore

Company: Indecomm Global solution

Website: http://www.indecomm.net/

Indecomm Global Services is a leading global provider of IT services. They leverage their relevant technology structures, method excellence, domain knowledge, and strategic partnerships to deliver enterprise results. Indecomm was founded in 2003 as a technology-enabled services company. Over the years, Indecomm has improved these technology platforms to handle any business processes across the various range of industry domain.

How to apply for big data development and QA job?

For more information upload your resume here with proper job code, subject and details and tell us why you want to join. We will ask you to write code as part of your interview process, so be prepared! Our recruiters will be in touch.

Other openings can be checked in Job Vacancies!

The post Big Data Developer and QA appeared first on JumpWhere.

 As a Big Data Engineer You will be responsible for –

• Creating complex data processing pipelines, as part of diverse, high energy teams.
• Designing scalable implementations of the models developed by our Data Scientists.
• Hands-on programming based on TDD, usually in a pair programming environment.
• Deploying data pipelines in production based on Continuous Delivery practices.
• Advising clients on the usage of different distributed storage and computing technologies from the plethora of options available in the ecosystem.

 Ideally, as a Big Data Engineer you should have – 

• 6 to 10 years of overall industry experience
• 3+ years of experience building and deploying large scale data processing pipelines in a production environment
• Production-level hands-on experience working on HDFS, Java MapReduce, Hive, Apache Spark, Oozie etc.
• Solid understanding of
•  SQL-on-Hadoop solutions like Impala etc.
• Experience working with, or an interest in Agile Methodologies, such as Extreme Programming (XP) and Scrum
• Knowledge of software best practices, like Test-Driven Development (TDD) and Continuous Integration (CI)
• Strong communication and client-facing skills with the ability to work in a consulting environment is essential
• Senior developers (7+ years) are expected to be the Architect for small and large enterprise projects. On larger projects, you are expected to work closely with the fellow architects to come up with the architecture and take it further.
• Desire to contribute to the wider technical community through collaboration, coaching, and mentoring of other technologists

About the Company: 

We operate in five cities in India – Bangalore, Chennai, Gurgaon, Pune and Hyderabad. If you relish the idea of being part of a community that extends beyond the work we do for our customers, you may find ThoughtWorks is the right place for you. If you share our passion for technology and want to help change the world with software, we want to hear from you!

Salary: Best in Industry.

How to apply for Big Data Engineer post?

For more information upload your resume here with proper job code, subject and details and tell us why you want to join. We will ask you to write code as part of your interview process, so be prepared! Our recruiters will be in touch.

Other openings can be checked in Job Vacancies

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