Join As SEND Continuum – Data WARE HOUSE At Mastercard | Apply Now
Job Overview:
| Company | Mastercard |
|---|---|
| Job Role | SEND Continuum – Data WARE HOUSE |
| Job ID | R-291286 |
| Work Location | Pune, India |
| Job Type | Full time |
| Experience | Freshers / Experienced |
| Qualification | Python / SQL / Spark |
| Salary | Not disclosed |
| Careers Page | www.mastercard.com |
Skills: SQL Python Scala Spark AWS Data Modeling
Start your data engineering journey with Mastercard in Pune!
Mastercard is hiring for the SEND Continuum – Data WARE HOUSE role in Pune. This full-time position is open to freshers and experienced professionals ready to build scalable data pipelines.
Who Can Apply?
- Freshers and experienced candidates can apply.
- Candidates must have strong proficiency in SQL and Python or Scala.
- Must understand data modeling and data quality concepts.
- Familiarity with cloud data ecosystems like AWS is required.
About Mastercard:
Mastercard powers economies and empowers people in over 200 countries and territories worldwide. The company builds a sustainable economy by supporting secure, simple, and smart digital payments.
What You Will Do as SEND Continuum – Data WARE HOUSE
- Build Data Pipelines: Design, build, and maintain scalable batch and near-real-time data pipelines.
- Develop Data Models: Develop curated datasets and data models that enable reliable analytics and ML workloads.
- Ensure Pipeline Reliability: Implement pipeline reliability patterns including monitoring, alerting, retries, and performance tuning.
- Partner with Data Scientists: Partner closely with data scientists to enable feature engineering and model operationalization.
- Ensure Data Security: Ensure secure data handling aligned to enterprise governance and compliance expectations.
- Drive Engineering Practices: Drive engineering best practices such as code quality, testing, documentation, and CI/CD.
Skills Required:
Coding and Querying. Strong proficiency in SQL and Python or Scala for data engineering tasks.
Data Processing. Experience building data pipelines using distributed processing tools like Spark.
Cloud and Storage. Working knowledge of cloud data ecosystems like AWS and object storage or lake patterns.
How to Prepare
Our tips, based only on what the listing asks for:
- Brush up on your SQL and Python or Scala coding skills for data tasks.
- Revise concepts related to data modeling, dimensional modeling, and lakehouse patterns.
- Practice building and understanding batch and near-real-time data pipelines using Spark.
- Review cloud data ecosystems, especially AWS and object storage patterns.
What the Listing Does Not Mention
- No salary or package is mentioned in the listing.
- No last date to apply is given.
- Work mode (office, hybrid, or remote) is not explicitly stated.
How to Apply: Mastercard
- Check all the details given in the job description to ensure you meet the requirements.
- Click the apply link to go to the official Mastercard careers page.
- Sign in to your account or create a new profile on Workday.
- Fill out your details, upload your resume, and submit your application.
Do not wait for the deadline to pass. Submit your application early and start preparing your technical skills for Mastercard.
Important Links:
| Events | Links |
|---|---|
| Apply Now | Click Here |
| Official Careers Page | Click Here |
Frequently Asked Questions:
What qualification is required?
Required qualification: Python / SQL / Spark. See the eligibility section above for details.
Can freshers apply?
Yes, the experience level is open to freshers as well as experienced candidates.
Where is the job located?
The job location is Pune, India.
What is the job type?
It is a full-time corporate role.
What skills are required?
Essential skills include SQL, Python or Scala, distributed processing like Spark, and cloud data ecosystems.
Stay safe: Mastercard does not charge any fee to apply or to give an interview. If anyone asks you for money for a job, a referral or an offer letter, it is a scam.
Source: the official Mastercard careers listing for this role.
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Disclaimer: This job post is for information only. All applications and questions should go to Mastercard through the official process.
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