XenonStack - XenonStack Careers 2023 is recruiting BE, B.Tech, B.Sc, BCA, ME, M.Tech, M.Sc, MCA candidates for the role of Associate Data Engineer- AWS Apply Online @ official website
XenonStack Careers 2023 Recruitment Notification - XenonStack Careers 2023 Career Notification for Associate Data Engineer- AWS role | XenonStack Careers 2023 job opening Online Application. XenonStack Careers 2023 is currently recruiting candidates for Associate Data Engineer- AWS positions in Mohali . Candidates who have completed their BE, B.Tech, B.Sc, BCA, ME, M.Tech, M.Sc, MCA are eligible to apply for this position. Applications are open to those who meet the requirements and are interested in the opportunity. If you want to start your career with XenonStack Careers 2023, this is your chance to apply.
Here, you will find information about the Associate Data Engineer- AWS post, including the educational qualifications required, job description, selection process, salary details, job qualifications, and application process. To stay updated with the latest government and private sector job opportunities, please visit our "Today's Jobs"section on a daily basis.
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XenonStack Highlights
| Organization | XenonStack Careers 2023 |
| Job Category | Private jobs |
| Job Role | Associate Data Engineer- AWS |
| Qualification | BE, B.Tech, B.Sc, BCA, ME, M.Tech, M.Sc, MCA |
| Total Vacancy | Various |
| Experience | Freshers |
| Job Location | Mohali , |
| Salary | As per norms |
| Apply Mode | Online |
| Join Whastsapp | 👉 Click here |
| Join Telegram | 👉 Click here |
About XenonStack Careers 2023 :
Platform Strategy and Development, Cloud Native Transformation, Enterprise Devops, Data, and AI Strategy and Solutions Digital enterprise services and solutions with DevOps, Big Data Engineering, Data Analytics, Cloud Migration, Machine learning, and Data Science.
Detailed Job Description :
XenonStack DataOps Team is looking for Associate Data Engineers who can solve complex data problems for High Volume of Transaction Data and Unstructured Data and can produce beautiful & functional code for big data solutions.
As a Data Engineer , you must have a DataOps mindset in order to power agile data culture and it includes transition from manual operations to automated operations, a tool-centric approach to a code-centric one, as well as integrating quality into product features from earlier phases in the data management lifecycle.
An Outstanding data engineer should have excellent communication, strong listening and analytical Skills. He/she should be a Team Player and results-driven Approach and Ability to move fast, be bold, and thrive in a dynamic, quickly-changing environment.
Key Responsibilities:
- You would be responsible for evaluating, developing, maintaining and testing big data solutions for advanced analytics projects
- Read, extract, transform, stage and load data to selected tools and frameworks as required and requested.
- Perform tasks such as writing scripts, web scraping, calling APIs, write SQL queries, etc.
- Work closely with the engineering team to integrate your work into our production systems.
- big data pre-processing & reporting workflows including collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into business insights
Job Qualification and Skills Required :
- Experience in one or more languages but not limited to: Java/C/C++/C#/ Python/JavaScript /Go.
- Familiarity with AWS cloud would be a plus.
- Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common tasks
- Knowledge of Spark and ETL Tools.
- Experience in designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement the solutions.
- Knowledge of Databases – SQL/NoSQL Databases and Graph Databases
- Strong Knowledge of Graph Algorithms and Data structures
- Strong SQL Skills
- Experience with Test-Driven development
Selection Process :
The selection process for the Associate Data Engineer- AWS post at XenonStack Careers 2023 includes several stages, such as:
-
Aptitude Test Online: Candidates will have to take an online aptitude test to assess their ability in areas such as logical reasoning, quantitative aptitude, and verbal ability.
-
Group Discussion: Candidates who pass the aptitude test will be invited to participate in a group discussion, where they will be evaluated on their communication skills, leadership qualities, and problem-solving abilities.
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Technical Interview: Candidates who pass the group discussion will then be interviewed by a panel of technical experts. This interview will focus on assessing the candidate's technical knowledge and skills related to the Mainframe Trainee role.
-
HR Interview: The final stage of the selection process is an interview with the HR team. This interview will focus on the candidate's attitude, motivation, and overall fit for the role and company.
It is also recommended that the candidates must read about how to prepare for a walk-in interview, interview questions and answers to make them well-prepared for the recruitment process.
How To Apply :
- Eligible candidates are advised to open online Apply Link ( Link given bellow).
- This link open new tab on your browser
- Read carefully above page and find apply button in this page
- Fill all your academic qualification, skill experience and other mandatory details.
- Upload your resume.
- Check the details before submitting.
- If you are shortlisted it will be shared through e-mail or phone call
- interview and Venue details also will be shared to shortlisted candidates through e-mail.
- Note : Apply Before the link Expires
XenonStack Careers 2023 Online Apply Link
👉 Apply Link ( XenonStack )
Double Click to apply
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XenonStack – FAQs
Q1. How to apply XenonStack ?
you can apply for this post via Online
Q2. What is the XenonStack Careers 2023 Selection Process ?
Online Written test, Group Discussion, Technical Interview, HR Interview.
Q3. What is the job location for XenonStack ?
The Job location for this post is Mohali ,
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