Sponsorship Sales Manager

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

Shopify Developer Job Brief

We are looking for Shopify developers who are comfortable programming on the Shopify platform. They should have development experience, in-depth understanding, and distinct perspectives of all things to specialize in all the Shopify projects.

The chosen candidate should be able to create a bespoke development using the existing Shopify templates. Besides that, they must also know how to convert mock-ups and specifications into complete functional solutions.

He/she must also know how to update and modify the existing websites to enhance the UX/UI design or add new features. They must also know how to test and develop 3rd-party Shopify apps and customize and create Shopify accounts.

Shopify Developer Responsibilities

• Make knowledgeable and engaging Shopify store online to increase the revenue and sales.
• Make bespoke themes and change all the pre-existing templates according to the predefined company guidelines.
• Should be a professional in all areas of the E-commerce platform.
• Work with the UI and UX design teams to make the inventive, strong, and unique user experience.
• Ensure smooth connection with the Shopify Apps, Marketing Tools, and Platform APIs.
• Must debug and test out the websites regularly to enhance the performance.
• Offer coordination and technical support to protect the company against failure.
• Increase the conversion rates by optimizing websites.
• Shopify Developer RequirementsBachelor’s degree in Computer Science, Information Technology, or any other similar field.
• Must have maintenance, launch, and shop construction expertise and also have a general understanding of the admin system.
• Expert in JavaScript, DOM, CSS3 and HTML5.
• Has previous experience in Storefront API and working with custom theme.
• Has working knowledge in liquid templating and theming system of Shopify.
• Previous experience in debugging or implementing 3rd-party Shopify applications and making unique solutions when it’s required.
• Must carry expertise and knowledge with jQuery, current frameworks of JavaScript, vanilla JavaScript, and ES2015/ES6.
• Must carry working knowledge of Shopify properties or objects, Meta fields, and AJAX API.
• Must possess debugging and testing abilities utilizing browser console and various other tools.
• Must have the ability to provide proactive feedback and interact effectively.
• Working knowledge in 3rd-party APIs and services along with Shopify plugins.
• Previous experience in creating responsive and unique layouts for mobile devices, tablets, and desktop.

Experience Required

• 6 months- 6 years

Job Summary

The Software Test

Engineer will work closely with members of research and development to assure that ERP products

developed meet defined high standards for quality.

The candidate will be involved throughout the development lifecycle with particular responsibility in the quality assurance

of software development

The candidate should be highly motivated, goal-oriented, have good communication skills and must have knowledge on

software testing and tools

Essential Duties & Responsibilities

Primary responsibilities include:

 Analyze the requirement and create test cases.

 Execute test cases and log/verify software defects

 Follow test process and standards defined within QA

 Demonstrate knowledge of quality assurance processes and methodology.

Qualification

 Master/ Bachelor's degree in Engineering, Computer Science, or Information Technology

 Software testing course – preferably ISTQB certified

Other Requirements:

Other Desired Experience and Skills:

CERTIFICATIONS (IF REQUIRED): ISTQB (ADDED ADVANTAGE)

 Appreciation for and a basic understanding of all quality disciplines and methodologies.

 Excellent work ethic and initiative. Self-motivated with demonstrated ability to deliver high-value products in a team

environment.

 Excellent verbal and written communication skills.

 Knowledge of Microsoft Front & Back Office applications.

 Knowledge of relational database concepts and technologies.

• Collaborate with product, design, and other engineering teams to brainstorm and resolve complex problems.
• Ensure the quality of code is up to the highest standard of readability, conciseness, efficiency, modularity, and extensibility.
• Experience with the entire Software Development Life Cycle (SDLC)
• Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
• Talking to customers and business teams to suggest improvement areas in product flows.
• Create peer learnings for team members and build context for new teammates
• Help with building the company's tech team and iterating on the hiring framework.
• Provide regular feedback to your team (peers and managers) to ensure continuous improvement.
• Keeping abreast with the latest technologies and working on your skills regularly.

Must-haves

• At least 3 years of experience working in frontend for desktop and mobile web.
• Familiar with design tools and convert them to actual code (HTML+CSS+JavaScript)
• Mastery in DOM Manipulation (including Jquery) and understand components, CTAs.
• Well-versed in other non-vanilla languages (ex. TypeScript)
• Well-versed in standard frontend framework (ex. ReactJS)
• Understanding of GraphQL APIs.
• Deep understanding of web technologies in various mobile systems
• Have empathy for the users you build for

Good to have

• Experience in the fintech industry
• Experience leading design and implementation of robust and secure web services.

Your role and responsibilities

• Integrating REST APIs in front-end application using React JS
• Implementing business logic in front-end application using javascript, should be able to handle complex JSON architecture.
• Should be able to manage states using Redux, Redux thunk/saga, Mobx.
• Should be comfortable in using both functional and class components in React.
• Should be able to create reusable components to make efficient applications. We hate code duplication.
• Must be familiar with popular React UI libraries like Material UI, Antd.
• Implement best practices and constantly learn new ways of keeping codebases up to date.
• Having knowledge in Typescript, GraphQL, NextJS, Socket.io is like a match made in heaven.

Criteria

• 2+ years of work experience with Javascript and React JS.
• Proficient understanding of code versioning tools, such as Git.
• Open-minded individual, open to learning new things
• A bit lazy is okay. Lazy people always find the quickest way to reach the solution. They write the most efficient code. We love that.
• You care about the design and user experience of an application. The choice of third-party libraries should be elegant.

Job Role : Audit Analytics – Need from Non Banking domain

Job Location : Gurgaon / Mumbai / B’lore

• Understanding of business processes and potential risk scenarios.
• Ability to conceptualize appropriate logic for analyzing potential risk scenarios
• Ability to understand requirements clearly and to be flexible in learning new data sources and technologies, meeting tight deadlines, and delivering quality reports for auditors.
• Maintain strong client focus by building positive relationships with clients, scheduling, conducting and presenting on key client meetings.
• Should be able to write/optimize complex scripts in the technology of expertise. Should be able to review results and identify false positives basis business understanding
• Should be a self-starter and eager to tackle business problem using experience and skills
• Play a key role in the development of less expert staff through mentoring, training and advising.
• 30% Travel in India and Overseas, if required
• Excellent communication skills and willingness to stretch and multi-task
• May be assigned on a project on a long term basis.
• Responsibilities include managing projects involving audit analytics and continuous control monitoring.
  • Understanding of business process (Accounts Payable, Revenue, Fixed Asset, Inventory, MJEs) from analytics requirements
  • Understanding of ERPs (SAP\ JDE\ Oracle\ Concur etc.) – Techno Functional side (Tables and Reports)

Qualifications

Minimum qualifications

• Preferred Post Graduates– MCom\ MSc (IT)\ MBA (IT)\ BE
• Years of experience in related field of Audit\ Business \ Financial analytics (Non-banking).
• Working knowledge of analytical / BI tools –

• ACL, SQL / R / Python, Alteryx – Should have any 2 or more
• VBA, Power BI / Tableau / QlikView
• GRC Solutions, AWS/Azure cloud based analytical solutions – Good to have

• Have worked on data analytics support work either as tool implementation, automation of control or MIS development