Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Job Title

Senior Data Engineer

Senior Data Engineer, Delivery Engineering Platform

Delivery Engineering Platforms is part of MasterCard Data & Services group and one of the most rapidly growing organization in the space. Platform Teams provides cloud-based analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions.

100 of the largest corporations in the world uses these products. Test & Learn™ for Sites, Test & Learn™ for Customers, Test & Learn™ for Ads, and other similar products employ patented algorithms and workflow to design and interpret business experiments that evaluate, target, and refine proposed business programs

The Delivery Engineering Platform team is a core component to consulting services, managing the data acquisition, integration and transformation of client provided data within the Test & Learn platform for global engagements.

Role

The Senior Data Engineer will lead and participate on data management aspects of client engagements to deliver Test & Learn solutions, as well as contribute to and foster a high performance collaborative workplace. A Senior Data Engineer will:

• Independently lead projects through design, implementation, automation, and maintenance of large scale enterprise ETL processes for a global client base
• Act as an expert technical resource within the team and region
• Deliver on-time, accurate, high-value, robust data solutions across multiple clients, solutions and industry sectors
• Build trust-based working relationships with peers and clients across local and global teams
• Implement best practices and collaborate in the design of effective streamlined processes for a complex global solutions group
• Leverage industry best practices including proper use of source control, participation in code reviews, data validation and testing
• Plays a lead role where he/she oversees the activities of the data engineers and ensures the efficient execution of their duties
• Act as an advisor/mentor and helps in managing careers for junior team members
• Comply and uphold all MasterCard internal policies and external regulations

All about you:

• BE/BTech in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research). ME/MTech preferred
• Excellent English quantitative, technical, and communication (oral/written) skills; is an excellent listener
• Expertise with hands-on experience with RDMS technologies, preferably with Microsoft SQL Server, the SSIS Stack and .Net; Proficiency with at least one scripting language (VB Script, Perl, Python)
• Proven self-motivated leader with experience working in teams
• Demonstrate excellent skills in the ability to innovate, think critically and disaggregate problems. Able to provide oversight, validation and quality control to own and team work product
• Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it
• Able to balance multiple projects and differing project priorities
• Flexible to work with global offices across several time zones

COVID-19 Considerations

We value the safety of each member of our community because we know we’re all in this together. In many locations, which may change over time, we’ve implemented a virtual hiring process and continue to interview candidates by video or phone. In addition, in some locations, only individuals who have been fully vaccinated will be permitted inside Mastercard offices until further notice.

About Mastercard

Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

If you require accommodations or assistance to complete the online application process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Cyient is a global engineering and technology solutions company. As a Design, Build, and Maintain partner for leading organizations worldwide, we take solution ownership across the value chain to help clients focus on their core, innovate, and stay ahead of the curve. We leverage digital technologies, advanced analytics capabilities, and our domain knowledge and technical expertise, to solve complex business problems.

With over 15,000 employees globally, we partner with clients to operate as part of their extended team in ways that best suit their organization’s culture and requirements. Our industry focus includes aerospace and defence, healthcare, telecommunications, rail transportation, semiconductor, geospatial, industrial, and energy.

Job Description

• 8+ years of overall IT experience
• Hands-on experience with delivering engineering solutions on data analytics platform
• Strong, hands-on knowledge in Big Data, Analytics Spark & Databricks
  
• Good understanding of ELT processes
  
• Strong hands-on knowledge on DevOps
  
• Solid understanding of software engineering and processes
  
• Strong analytical, problem solving and decision-making skills

Skills & Experience

Apache Spark, Big Data, Big Data Processing, Big Data Technologies, Cloud DevOps, Databricks, DevOps, Microsoft Azure Databricks, Software

Cyient is an Equal Opportunity Employer.

Cyient recruits, employs, trains, compensates, and promotes regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, and other protected status as required by applicable law. We are proud to be a diverse and inclusive company where our people can focus their whole self on solving problems that matter.

Job Description

• 3+ years of experience in AWS Data Engineering.
• Design and build ETL pipelines & Data lakes to automate ingestion of structured and unstructured data
• Experience working with AWS big data technologies (Redshift, S3, AWS Glue, Kinesis, Athena ,DMS, EMR and Lambda for Serverless ETL)
• Should have knowledge in SQL and NoSQL programming languages.
• Have worked on batch and real time pipelines.
• Excellent programming and debugging skills in Scala or Python & Spark.
• Good Experience in Data Lake formation, Apache spark, python, hands on experience in deploying the models.
• Must have experience in Production migration Process
• Nice to have experience with Power BI visualization tools and connectivity

Roles & Responsibilities:

• Design, build and operationalize large scale enterprise data solutions and applications
• Analyze, re-architect and re-platform on premise data warehouses to data platforms on AWS cloud.
• Design and build production data pipelines from ingestion to consumption within AWS big data architecture, using Python, or Scala.
• Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.