Mastercard is looking for Data Engineer I in Pune, India. Candidates with a Bachelor’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Mastercard |
| Position | Data Engineer I |
| Qualifications | Bachelor’s Degree |
| Experience | 0.6 to 1.5 (Years) |
| Location | Pune, India |
Key Responsibilities:
- Design, develop, and maintain data capabilities and infrastructure to support the Sustainable Technology Internal Data Lake.
- Develop and manage data pipelines, data transfer processes, and compliance-focused infrastructure to enable seamless data integration across on-premises and cloud environments.
- Identify gaps and improvement opportunities in data capabilities and infrastructure, and provide technical expertise to implement effective solutions.
- Collaborate with technical teams and business stakeholders to gather data requirements and translate them into scalable technical solutions.
- Work with large and complex datasets while ensuring high standards of data quality, accuracy, and performance.
- Design and implement data transformation, integration, and validation processes to support analytics, business intelligence, and reporting requirements.
- Optimize and enhance data pipelines to improve processing speed, reliability, scalability, and overall efficiency.
- Implement best practices for data storage, retrieval, backup, and archival to ensure secure, reliable, and accessible data management.
- Troubleshoot and resolve data-related issues by performing root cause analysis and collaborating with cross-functional teams.
- Prepare and maintain comprehensive documentation for data processes, data lineage, workflows, and technical specifications.
- Participate in code reviews to ensure compliance with coding standards, best practices, and quality guidelines.
- Partner with DevOps teams to automate the deployment, monitoring, and maintenance of data pipelines and related infrastructure.
- Perform additional responsibilities and project-related tasks as assigned by the organization.
Eligibility Criteria:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline.
- Proven experience as a Data Engineer, Data Scientist, or in a similar data-focused role.
- Strong knowledge of data engineering concepts, including ETL/ELT processes, data warehousing, and data modeling.
- Proficiency in data integration methodologies and data quality management practices.
- Hands-on experience with data technologies such as Databricks, Apache Spark, Python, SQL, Hadoop, and Airflow.
- Familiarity with cloud platforms and services, including AWS and Microsoft Azure.
- Excellent analytical and problem-solving skills, with the ability to develop innovative and efficient data solutions.
- Strong interpersonal and collaboration skills, with the ability to build effective relationships and work independently as well as within geographically distributed teams.
- Excellent written and verbal communication skills, with exceptional attention to detail.
- Self-motivated and proactive, with the ability to manage multiple tasks effectively in a fast-paced, deadline-driven environment.
- Ability to quickly learn new technologies and perform Proof of Concepts (POCs) to evaluate and recommend optimal solutions.
- Flexibility to work effectively in a matrix-based, diverse, and globally distributed project environment.
Required Skills:
- 0.6 to 1.5 years of experience in Data Engineering, Data Warehousing, or related projects.
- Hands-on experience delivering end-to-end Data Engineering or Data Warehousing projects in Big Data environments.
- Experience building and maintaining data pipelines using Apache Spark with Scala, Python, or Java in Databricks or Hadoop environments.
- Proficiency in working with relational databases such as Microsoft SQL Server or Oracle, along with strong SQL programming skills.
- Experience automating data pipeline workflows in Big Data environments using Apache Airflow or similar workflow orchestration tools.
- Familiarity with Agile methodologies and experience working within Agile development teams.
About Company:
Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
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