Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.
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Shubham Vishwakarma
Full Stack Developer - Averlon
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Python
Data AnalyticsJob Title
Data Analyst
Job Brief
The successful candidate will turn data into information, information into insight and insight into business decisions.
Data Analyst Job Duties
Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
Responsibilities
● Interpret data, analyze results using statistical techniques and provide ongoing reports.
● Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
● Acquire data fromprimary orsecondary data sources andmaintain databases/data systems.
● Identify, analyze, and interpret trends orpatternsin complex data sets.
● Filter and “clean” data by reviewing computerreports, printouts, and performance indicatorsto locate and correct code problems.
● Work withmanagementto prioritize business and information needs.
● Locate and define new processimprovement opportunities.
Requirements
● Proven working experienceas aData Analyst or BusinessDataAnalyst.
● Technical expertise regarding data models, database design development, data mining and segmentation techniques.
● Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).
● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).
● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
● Adept atqueries,reportwriting and presenting findings.
Job Location SouthDelhi, New Delhi
PythonScience)
Have 2 to 6 years of experience working in a similar role in a startup environment
SQL and Excel have no secrets for you
You love visualizing data with Tableau
Any experience with product analytics tools (Mixpanel, Clevertap) is a plus
You solve math puzzles for fun
A strong analytical mindset with a problem-solving attitude
Comfortable with being critical and speaking your mind
You can easily switch between coding (R or Python) and having a business
discussion
Be a team player who thrives in a fast-paced and constantly changing environment
-
Responsibilities
- Responsible for implementation and ongoing administration of Hadoop
infrastructure.
- Aligning with the systems engineering team to propose and deploy new
hardware and software environments required for Hadoop and to expand existing
environments.
- Working with data delivery teams to setup new Hadoop users. This job includes
setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig
and MapReduce access for the new users.
- Cluster maintenance as well as creation and removal of nodes using tools like
Ganglia, Nagios, Cloudera Manager Enterprise, Dell Open Manage and other tools
- Performance tuning of Hadoop clusters and Hadoop MapReduce routines
- Screen Hadoop cluster job performances and capacity planning
- Monitor Hadoop cluster connectivity and security
- Manage and review Hadoop log files.
- File system management and monitoring.
- Diligently teaming with the infrastructure, network, database, application and
business intelligence teams to guarantee high data quality and availability
- Collaboration with application teams to install operating system and Hadoop
updates, patches, version upgrades when required.
READ MORE OF THE JOB DESCRIPTION
Qualifications
Qualifications
- Bachelors Degree in Information Technology, Computer Science or other
relevant fields
- General operational expertise such as good troubleshooting skills,
understanding of systems capacity, bottlenecks, basics of memory, CPU, OS,
storage, and networks.
- Hadoop skills like HBase, Hive, Pig, Mahout
- Ability to deploy Hadoop cluster, add and remove nodes, keep track of jobs,
monitor critical parts of the cluster, configure name node high availability, schedule
and configure it and take backups.
- Good knowledge of Linux as Hadoop runs on Linux.
- Familiarity with open source configuration management and deployment tools
such as Puppet or Chef and Linux scripting.
Nice to Have
- Knowledge of Troubleshooting Core Java Applications is a plus.
Machine Learning (ML)
Data ScienceJob Description:
The data science team is responsible for solving business problems with complex data. Data complexity could be characterized in terms of volume, dimensionality and multiple touchpoints/sources. We understand the data, ask fundamental-first-principle questions, apply our analytical and machine learning skills to solve the problem in the best way possible.
Our ideal candidate
The role would be a client facing one, hence good communication skills are a must.
The candidate should have the ability to communicate complex models and analysis in a clear and precise manner.
The candidate would be responsible for:
- Comprehending business problems properly - what to predict, how to build DV, what value addition he/she is bringing to the client, etc.
- Understanding and analyzing large, complex, multi-dimensional datasets and build features relevant for business
- Understanding the math behind algorithms and choosing one over another
- Understanding approaches like stacking, ensemble and applying them correctly to increase accuracy
Desired technical requirements
- Proficiency with Python and the ability to write production-ready codes.
- Experience in pyspark, machine learning and deep learning
- Big data experience, e.g. familiarity with Spark, Hadoop, is highly preferred
- Familiarity with SQL or other databases.
PythonResponsibilities:
- Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
- Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
- Become an expert on data and trends, both internal and external to Kaleidofin.
- Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
- Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
- Automate scheduling and distribution of reports and support auditing and value realization.
- Partner with enterprise architects to define and ensure proposed.
- Business Intelligence solutions adhere to an enterprise reference architecture.
- Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.
- Experience leading development efforts through all phases of SDLC.
- 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
- Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
- Hands on experience in SQL, data management, and scripting (preferably Python).
- Strong data visualisation design skills, data modeling and inference skills.
- Hands-on and experience in managing small teams.
- Financial services experience preferred, but not mandatory.
- Strong knowledge of architectural principles, tools, frameworks, and best practices.
- Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
- Preferred candidates with less than 30 days notice period.
Job Summary
Condé Nast is looking for a talented Software Quality Assurance Manager. In this role you will
be part of an IT organization and to provide direction and leadership on all quality matters
across the platform or domain. This is an opportunity to act as a key contributor in making sure
that work packages transition seamlessly from development into live environments Hone your
knowledge of quality best practices and collaboration and stakeholder management skills
Objectives of the Role
● Lead a global team of QE engineers who are responsible for ensuring E2E(end to end) quality
of our products
● Provide high direction for test teams delivering a clear and consistent vision
● Develop a roadmap for building needed test expertise. Establish and evolve formal QA
processes
● Define quality and automation KPI goals for the team and drive success towards achieving
them.
● To recommend, implement, and monitor preventative and corrective actions to ensure that
quality assurance standards are achieved
● Participate in brainstorming sessions and cross-departmental meetings to ensure collaborating
and cohesion
● Oversee all aspects of quality assurance including establishing metrics, implementing best
practices, and developing new tools and processes to ensure quality goals are met
● Act as a key point of contact for all QA aspects of releases, providing QA services and
coordinating QA resources internally and externally
● Review test strategies and test plans and ensure coverage for functional, performance and
scalability aspects are covered and tested
● Working cross functionally with Product and Engineering to ensure smooth delivery of product
that are on time, feature rich and with high quality
● Present QA status of testing with state-of-the-art dashboards and highlight key blockers and
where help is needed
● Ensure automated scripts are produced for E2E testing scenarios, including performance and
scale testing
● Review user found defects and continue to enhance and improve testing methodology and fill
gaps in testing as needed
● Communicate product status, key issues, and insights to key constituents across the
organization, including the executive team.
● Develop process for manual and automated testing strategy for business applications, web
applications and BI solutions.
● Experience in establishing testing strategy for dealing with quarterly releases by business
applications
Required Skills
● 12 + years’ experience in Product Quality testing role and 2-3 yrs in Management position
● Seasoned QA Manager with track record of delivering high quality products in a fast paced
environment
● Must have prior experience in building QA / Data Validation framework in bigdata for various
BU's
● Experience in "closing the loop" and "continuous improvement" of QA strategies based on
learnings from field issues
● Experience in business applications, web application, Business Intelligence applications
● Hands-on QA experience including testing automation. Deep knowledge of automation best
practices and industry trends.
● Good to have knowledge on One or more Test automation tools like xUnit , Selenium, Jmeter ,
Ranorex etc.
● Experience in automation testing using Selenium Webdriver, Testing Frameworks like TestNG
and NUnit.
● Strong proficiency in SQL coding (T-SQL or PL-SQL)
● Familiarity with data warehousing practices, ETL processing and denormalized data structures.
● Background in programming and testing across platforms is a plus
● Proficient with Bigdata concepts and/or tools is a plus (Hadoop, Hive, Spark).
● Strong analytical and reasoning skills
● Strong verbal, written communication skills and strong interpersonal skills.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
Java
ScalaPython- 6+ years of recent hands-on Java development
- Developing data pipelines in AWS or Google Cloud
- Java, Python, JavaScript programming languages
- Great understanding of designing for performance, scalability, and reliability of data intensive application
- Hadoop MapReduce, Spark, Pig. Understanding of database fundamentals and advanced SQL knowledge.
- In-depth understanding of object oriented programming concepts and design patterns
- Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
- Understanding of full software development life cycle, agile development and continuous integration
- Experience in Agile methodologies including Scrum and Kanban
• 5+ years’ experience developing and maintaining modern ingestion pipeline using
technologies like Spark, Apache Nifi etc).
• 2+ years’ experience with Healthcare Payors (focusing on Membership, Enrollment, Eligibility,
• Claims, Clinical)
• Hands on experience on AWS Cloud and its Native components like S3, Athena, Redshift &
• Jupyter Notebooks
• Strong in Spark Scala & Python pipelines (ETL & Streaming)
• Strong experience in metadata management tools like AWS Glue
• String experience in coding with languages like Java, Python
• Worked on designing ETL & streaming pipelines in Spark Scala / Python
• Good experience in Requirements gathering, Design & Development
• Working with cross-functional teams to meet strategic goals.
• Experience in high volume data environments
• Critical thinking and excellent verbal and written communication skills
• Strong problem-solving and analytical abilities, should be able to work and delivery
individually
• Good-to-have AWS Developer certified, Scala coding experience, Postman-API and Apache
Airflow or similar schedulers experience
• Nice-to-have experience in healthcare messaging standards like HL7, CCDA, EDI, 834, 835, 837
• Good communication skills
ScalaDear Candidate,,
Greetings of the day!
As discussed, Please find the below job description.
Job Title : Hadoop developer
Experience : 3+ years
Job Location : New Delhi
Job type : Permanent
Knowledge and Skills Required:
Brief Skills:
Hadoop, Spark, Scala and Spark SQL
Main Skills:
- Strong experience in Hadoop development
- Experience in Spark
- Experience in Scala
- Experience in Spark SQL
Why OTSi!
Working with OTSi gives you the assurance of a successful, fast-paced career.
Exposure to infinite opportunities to learn and grow, familiarization with cutting-edge technologies, cross-domain experience and a harmonious environment are some of the prime attractions for a career-driven workforce.
Join us today, as we assure you 2000+ friends and a great career; Happiness begins at a great workplace..!
Feel free to refer this opportunity to your friends and associates.
About OTSI: (CMMI Level 3): Founded in 1999 and headquartered in Overland Park, Kansas, OTSI offers global reach and local delivery to companies of all sizes, from start-ups to Fortune 500s. Through offices across the US and around the world, we provide universal access to exceptional talent and innovative solutions in a variety of delivery models to reduce overall risk while optimizing outcomes & enabling our customers to thrive in a global economy.http://otsi-usa.com/?page_id=2806">
OTSI's global presence, scalable and sustainable world-class infrastructure, business continuity processes, ISO 9001:2000, CMMI 3 certifications makes us a preferred service provider for our clients. OTSI has the expertise in different technologies enhanced by our http://otsi-usa.com/?page_id=2933">partnerships and alliances with industry giants like HP, Microsoft, IBM, Oracle, and SAP and others. Highly repetitive local company with a proven success of serving the UAE Government IT needs is seeking to attract, employ and develop people with exceptional skills who want to make a difference in a challenging environment.Object Technology Solutions India Pvt Ltd is a leading Global Information Technology (IT) Services and Solutions company offering a wide array of Solutions for a range of key Verticals. The company is headquartered in Overland Park, Kansas, and has a strong presence in US, Europe and Asia-Pacific with a Global Delivery Center based in India. OTSI offers a broad range of IT application solutions and services including; e-Business solutions, Enterprise Resource Planning (ERP) implementation and Post Implementation Support, Application development, Application Maintenance, Software customizations services.
OTSI Partners & Practices
- SAP Partner
- Microsoft Silver Partner
- Oracle Gold Partner
- Microsoft CoE
- DevOps Consulting
- Cloud
- Mobile & IoT
- Digital Transformation
- Big data & Analytics
- Testing Solutions
OTSI Honor’s & Awards:
- #91 in Inc.5000 .
- Fastest growing IT Companies in Inc.5000…
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Full Stack Developer - Averlon