
Software Engineering - Data Analytics
Are you a skilled and innovative software engineer with a passion for data analytics? Mastercard is seeking a talented individual to join our team in the role of Software Engineering - Data Analytics. As a leading global technology company, Mastercard is constantly pushing the boundaries of what is possible in the world of data analytics. We are looking for someone who is eager to contribute their expertise and creativity to our team and help drive our data analytics solutions to new heights. If you have a strong background in software engineering and a deep understanding of data analytics, we want to hear from you. Join us on our mission to connect and power an inclusive, digital economy – one that benefits everyone, everywhere.
- Develop and maintain software solutions for data analytics in accordance with Mastercard's standards and best practices.
- Collaborate with cross-functional teams to design, develop, and implement data analytics solutions.
- Continuously research and evaluate emerging data analytics technologies and techniques to enhance Mastercard's capabilities.
- Identify and troubleshoot technical issues in data analytics systems and provide effective solutions.
- Conduct thorough testing and debugging of software to ensure high quality and accuracy of data analytics results.
- Develop and maintain technical documentation for data analytics solutions.
- Collaborate with data scientists and other stakeholders to understand business requirements and translate them into technical specifications.
- Mentor and provide technical guidance to junior software engineers in the team.
- Keep up-to-date with industry trends and developments in data analytics and incorporate them into Mastercard's solutions.
- Adhere to project timelines and deliver high-quality software solutions within set deadlines.
- Collaborate with project managers to identify and mitigate potential risks and issues.
- Participate in code reviews and provide constructive feedback to improve the overall quality and efficiency of data analytics solutions.
- Communicate effectively with team members and stakeholders to ensure smooth implementation and integration of data analytics solutions.
- Take ownership of assigned tasks and proactively communicate progress and challenges to relevant stakeholders.
- Adhere to Mastercard's security and compliance standards and ensure data privacy in all data analytics processes.
Bachelor's Or Master's Degree In Computer Science, Software Engineering, Data Science, Or A Related Field.
Strong Understanding Of Data Analytics Concepts And Techniques, Including Data Mining, Statistical Analysis, And Machine Learning.
Proficiency In Programming Languages Such As Python, R, And Sql, As Well As Experience With Data Analytics Tools And Platforms Such As Tableau, Power Bi, Or Apache Spark.
Experience Working With Large Datasets And Databases, And Ability To Write Efficient And Optimized Queries For Data Retrieval And Manipulation.
Excellent Problem-Solving And Critical Thinking Skills, With The Ability To Analyze Complex Data Sets And Identify Trends, Patterns, And Insights To Inform Business Decisions.
Data Analysis
Database Management
Machine Learning
Data Manipulation
Data Visualization
Artificial Intelligence
Data Mining
Statistical modeling
Predictive analytics
Data Acquisition
Programming Languages
Data
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Software Engineering - Data Analytics in Pune, Maharashtra, India is between ₹600,000 - ₹1,500,000 per year. This is equivalent to approximately $8,400 - $21,000 USD per year. However, salaries can vary depending on factors such as experience, skills, and the specific company or industry.
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Mastercard is a leader in global payments and a technology company that connects billions of consumers, thousand of financial institutions, and millions of merchants, as well as governments and businesses around the world.

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