Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.

To introduce myself I head Global Faculty Acquisition for Simplilearn. About My Company: SIMPLILEARN is a company which has transformed 500,000+ carriers across 150+ countries with 400+ courses and yes we are a Registered Professional Education Provider providing PMI-PMP, PRINCE2, ITIL (Foundation, Intermediate & Expert), MSP, COBIT, Six Sigma (GB, BB & Lean Management), Financial Modeling with MS Excel, CSM, PMI - ACP, RMP, CISSP, CTFL, CISA, CFA Level 1, CCNA, CCNP, Big Data Hadoop, CBAP, iOS, TOGAF, Tableau, Digital Marketing, Data scientist with Python, Data Science with SAS & Excel, Big Data Hadoop Developer & Administrator, Apache Spark and Scala, Tableau Desktop 9, Agile Scrum Master, Salesforce Platform Developer, Azure & Google Cloud. : Our Official website : www.simplilearn.com If you're interested in teaching, interacting, sharing real life experiences and passion to transform Careers, please join hands with us. Onboarding Process • Updated CV needs to be sent to my email id , with relevant certificate copy. • Sample ELearning access will be shared with 15days trail post your registration in our website. • My Subject Matter Expert will evaluate you on your areas of expertise over a telephonic conversation - Duration 15 to 20 minutes • Commercial Discussion. • We will register you to our on-going online session to introduce you to our course content and the Simplilearn style of teaching. • A Demo will be conducted to check your training style, Internet connectivity. • Freelancer Master Service Agreement Payment Process : • Once a workshop/ Last day of the training for the batch is completed you have to share your invoice. • An automated Tracking Id will be shared from our automated ticketing system. • Our Faculty group will verify the details provided and share the invoice to our internal finance team to process your payment, if there are any additional information required we will co-ordinate with you. • Payment will be processed in 15 working days as per the policy this 15 days is from the date of invoice received. Please share your updated CV to get this for next step of on-boarding process.

Responsibilities

• Design and develop a framework, internal tools, and scripts for testing large-scale data systems, machine learning algorithms, and responsive User Interfaces.
• Create repeatability in testing through automation
• Participate in code reviews, design reviews, architecture discussions.
• Performance testing and benchmarking of Bidgely product suites
• Driving the adoption of these best practices around coding, design, quality, performance in your team.
• Lead the team on all technical aspects and own the quality of your teams’ deliverables
• Understand requirements, design exhaustive test scenarios, execute manual and automated test cases, dig deeper into issues, identify root causes, and articulate defects clearly.
• Strive for excellence in quality by looking beyond obvious scenarios and stated requirements and by keeping end-user needs in mind.
• Debug automation, product, deployment, and production issues and work with stakeholders/team on quick resolution
• Deliver a high-quality robust product in a fast-paced start-up environment.
• Collaborate with the engineering team and product management to elicit & understand their requirements and develop potential solutions.
• Stay current with the latest technology, tools, and methodologies; share knowledge by clearly articulating results and ideas to key decision-makers.

Requirements

•  BS/MS in Computer Science, Electrical or equivalent
• 6+ years of experience in designing automation frameworks, tools
• Strong object-oriented design skills, knowledge of design patterns, and an uncanny ability to
  design intuitive module and class-level interfaces
• Deep understanding of design patterns, optimizations
• Experience leading multi-engineer projects and mentoring junior engineers
• Good understanding of data structures and algorithms and their space and time complexities. Strong technical aptitude and a good knowledge of CS fundamentals
• Experience in non-functional testing and performance benchmarking
• Knowledge of Test-Driven Development &  implementing CD/CD
• Strong hands-on and practical working experience with at least one programming language: Java/Python/C++
• Strong analytical, problem solving, and debugging skills.
• Strong experience in API automation using Jersey/Rest Assured.
• Fluency in automation tools, frameworks such as Selenium, TestNG, Jmeter, JUnit, Jersey, etc...
• Exposure to distributed systems or web applications
• Good in RDBMS or any of the large data systems such as Hadoop, Cassandra, etc.
• Hands-on experience with build tools like Maven/Gradle &  Jenkins
• Experience in testing on various browsers and devices.
• Strong communication and collaboration skills.

Data Analyst

Job Description

 

Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on ground-breaking big data technologies? Then we are looking for you.

 

At Amagi, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Amagi’s Data Engineering and Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic team members who like to think outside the box.

 

Amagi’s Data warehouse team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions such as Sales/Revenue, Operations, Finance, Marketing and Engineering, enabling critical business decisions. Designing, developing, scaling and running these big data technologies using native technologies of AWS and GCP are a core part of our daily job.

 

• Experience in building highly cost optimised data analytics solutions
• Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
• Experience (hands on) in building high quality ETL applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
• Experience in working with AWS or GCP
• Experience with relational and NoSQL databases
• Experience to full stack web development (Preferably Python)
• Expertise with data visualisation systems such as Tableau and Quick Sight
• Proficiency in writing advanced SQL queries with expertise in performance tuning handling large data volumes
• Familiarity with ML/AÍ technologies is a plus
• Demonstrate strong understanding of development processes and agile methodologies
• Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly

 

Data Analytics is at the core of our work, and you will have the opportunity to:

 

• Design Data-warehousing solutions on Amazon S3 with Athena, Redshift, GCP Bigtable etc
• Lead quick prototypes by integrating data from multiple sources
• Do advanced Business Analytics through ad-hoc SQL queries
• Work on Sales Finance reporting solutions using tableau, HTML5, React applications

 

We build amazing experiences and create depth in knowledge for our internal teams and our leadership. Our team is a friendly bunch of people that help each other grow and have a passion for technology, R&D, modern tools and data science.

 

Our work relies on deep understanding of the company needs and an ability to go through vast amounts of internal data such as sales, KPIs, forecasts, Inventory etc. One of the key expectations of this role would be to do data analytics, building data lakes, end to end reporting solutions etc. If you have a passion for cost optimised analytics and data engineering and are eager to learn advanced data analytics at a large scale, this might just be the job for you..

 

A bachelor’s/master’s degree in Computer Science with 5 to 7 years of experience and previous experience in data engineering is a plus.

 

 

Responsibilities

• Our Site reliability engineers work on improving the availability, scalability, performance, and reliability of enterprise production services for our products as well as our customer’s data lake environments.
• You will use your expertise to improve the reliability and performance of Hadoop Data lake clusters and data management services. Just as our products, our SRE are expected to be platform and vendor-agnostic when it comes to implementing, stabilizing, and tuning Hadoop ecosystems.
• You’d be required to provide implementation guidance, best practices framework, and technical thought leadership to our customers for their Hadoop Data lake implementation and migration initiatives.
• You need to be 100% hand-on and as a required test, monitor, administer, and operate multiple Data lake clusters across data centers.
• Troubleshoot issues across the entire stack - hardware, software, application, and network.
• Dive into problems with an eye to both immediate remediations as well as the follow-through changes and automation that will prevent future occurrences.
• Must demonstrate exceptional troubleshooting and strong architectural skills and clearly and effectively describe this in both a verbal and written format.

Requirements

• Customer-focused, Self-driven, and Motivated with a strong work ethic and a passion for problem-solving.
• 4+ years of designing, implementing, tuning, and managing services in a distributed, enterprise-scale on-premise and public/private cloud environment.
• Familiarity with infrastructure management and operations lifecycle concepts and ecosystem.
• Hadoop cluster design, Implementation, management and performance tuning experience with HDFS, YARN,
• HIVE/IMPALA, SPARK, Kerberos and related Hadoop technologies are a must.
• Must have strong SQL/HQL query troubleshooting and tuning skills on Hive/HBase.
• Must have a strong capacity planning experience for Hadoop ecosystems/data lakes.
• Good to have hands-on experience with – KAFKA, RANGER/SENTRY, NiFi, Ambari, Cloudera Manager, and HBASE.
• Good to have data modeling, data engineering, and data security experience within the Hadoop ecosystem.Good to have deep JVM/Java debugging and tuning skills.

Overall experience of 4 – 8 years of experience in DW / BI technologies.
Minimum 2 years of work experience on Snowflake and Azure storage.
Minimum 3 years of development experience in ETL Tool Experience.
Strong SQL database skills in other databases like Oracle, SQL Server, DB2 and Teradata
Good to have Hadoop and Spark experience.
Good conceptual knowledge on Data-Warehouse and various methodologies.
Working knowledge in any of the scripting like UNIX / Shell
Good Presentation and communication skills.
Should be flexible with the overlapping working hours.
Should be able to work independently and be proactive.
Good understanding of Agile development cycle.

Interested in building high performance search systems to handle petabytes of retail data, while working in an agile, small company environment? At CodeHall Technologies, you will have the opportunity to work with the newest technology in Search and Browse.  We are working on systems that powers and personalizes site search, considering the user intent for every query, providing a wholly unique search experience that is engaging - designed to display the most relevant results through Findability.  Primary responsibilities:   Building high performance Search systems for personalization, optimization, and targeting Building systems with Hadoop, Solr, Cassandra, Flink, Spark, Mongo DB Deep understanding of HTTP and REST principles Good diagnostic and troubleshooting skills… Unit testing with JUnit, Performance testing and tuning Working with rapid and innovative development methodologies like: Kanban, Continuous Integration and Daily deployments Highly proficient Software engineering skills in Java Coordination with internal and external teams Mentoring junior engineers Participate in Product design discussions and decisions Minimum requirements: BS/MS in CS, Electrical Engineering or foreign equivalent plus relevant software development experience At least 5-8 years of software development experience Expert in Java, Scala or any other object oriented language Proficient in SQL concepts (HiveQL or Postgres a plus) Additional language skills for scripting and rapid application development Desired skills and experience: Working with large data sets in the PBs Familiarity with UNIX (systems skills a plus) Working experience in Solr, Cassandra, Mongo DB, and Hadoop Working in a distributed environment and has dealt with challenges around scaling and performance Proven ability to project and meet scheduled deadlines Self-driven, quick learner with attention to detail and quality

Job Overview :We are looking for an experienced Data Science professional to join our Product team and lead the data analytics team and manage the processes and people responsible for accurate data collection, processing, modelling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our clients. The incumbent will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modelling, predictive modelling, natural language processing and analytical techniques to interpret key findings.Responsibilities for Analytics Manager :- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.- Design and build technical processes to address business issues.- Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.- Examine, interpret and report results to stakeholders in leadership, technology, sales, marketing and product teams.- Develop and implement quality controls and standards to ensure quality standards- Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.- Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.Qualifications for Analytics Manager :- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple cloud-based data sources- Strong SQL skills, ability to perform effective querying- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.- Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.- Experience working with and creating databases and dashboards using all relevant data to inform decisions.- Strong problem solving, quantitative and analytical abilities.- Strong ability to plan and manage numerous processes, people and projects simultaneously.- Excellent communication, collaboration and delegation skills.- We- re looking for someone with at least 5 years of experience in a position monitoring, managing and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs :- Strong programming skills with querying languages: R, Python etc.- Experience with big data tools like Hadoop- Experience with data visualization tools: Tableau, d3.js, etc.- Experience with Excel, Word, and PowerPoint.

What is the Job like?We are looking for a talented individual to join our DevOps and Platforms Engineering team. You will play an important role in helping build and run our globally distributed infrastructure stack and platforms. Technologies you can expect to work on every day include Linux, AWS, MySQL/PostgreSQL, MongoDB, Hadoop/HBase, ElasticSearch, FreeSwitch, Jenkins, Nagios, and CFEngine amongst others.Responsibilities:- * Troubleshoot and fix production outages and performance issues in our AWS/Linux infrastructure stack* Build automation tools for provisioning and managing our cloud infrastructure by leveraging the AWS API for EC2, S3, CloudFront, RDS and Route53 amongst others* Contribute to enhancing and managing our continuous delivery pipeline* Proactively seek out opportunities to improve monitoring and alerting of our hosts and services, and implement them in a timely fashion* Code scripts and tools to collect and visualize metrics from linux hosts and JVM applications* Enhance and maintain our logs collection, processing and visualization infrastructure* Automate systems configuration by writing policies and modules for configuration management tools* Write both frontend (html/css/js) and backend code (Python, Ruby, Perl)* Participate in periodic oncall rotations for devopsSkills:- * DevOps/System Admin experience ranging between 3-4 years* In depth Linux/Unix knowledge, good understanding the various linux kernel subsystems (memory, storage, network etc)* DNS, TCP/IP, Routing, HA & Load Balancing* Configuration management using tools like CFEngine, Puppet or Chef* SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB and HBase* Build and packaging tools like Jenkins and RPM/Yum* HA and Load balancing using tools like the Elastic Load Balancer and HAProxy* Monitoring tools like Nagios, Pingdom or similar* Log management tools like logstash, fluentd, syslog, elasticsearch or similar* Metrics collection tools like Ganglia, Graphite, OpenTSDB or similar* Programming in a high level language like Python or Ruby

We are looking for an experienced Product and Technical Executive who is passionate about building products that customers love. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll-out products that deliver the company’s vision and strategy. Product Manager Responsibilities Include: Creating buy-in for the product vision both internally and with key external partners Developing product pricing and positioning strategies Translating product strategy into detailed requirements and prototypes Responsibilities Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth Create buy-in for the product vision both internally and with key external partners Develop product pricing and positioning strategies Translate product strategy into detailed requirements and prototypes Scope and prioritize activities based on business and customer impact Work closely with engineering teams to deliver with quick time-to-market and optimal resources Drive product launches including working with public relations team, executives, and other product management team members Evaluate promotional plans to ensure that they are consistent with product line strategy and that the message is effectively conveyed Act as a product evangelist to build awareness and understanding Represent the company by visiting customers to solicit feedback on company products and services Requirements Proven work experience in product management or as an associate product manager Proven track record of managing all aspects of a successful product throughout its lifecycle Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management Solid technical background with understanding and/or hands-on experience in software development and web technologies Strong problem solving skills and willingness to roll up one’s sleeves to get the job Skilled at working effectively with cross functional teams in a matrix organization Excellent written and verbal communication skills MS/BS degree in Computer Science, Engineering or equivalent preferred

Check our JD: https://www.zeotap.com/job/senior-tech-lead-m-f-for-zeotap/oEQK2fw0