? Design, develop, and maintain new data capabilities and infrastructure for Mastercard’s Internal Data lake (Workplace Intelligence Platform)

? Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments

? Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation

? Collaborate with technical team and business stakeholders to understand data requirements and translate them into technical solutions

? Work with large datasets, ensuring data quality, accuracy, and performance

? Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs

? Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency

? Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security

? Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes

? Document data processes, data lineage, and technical specifications for future reference

? Participate in code reviews, ensuring adherence to coding standards and best practices

? Collaborate with DevOps teams to automate deployment and monitoring of data pipelines

? Additional tasks as required

???Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.

???Proven experience as a Senior Data Analyst or similar role.

???Deep understanding of Data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning and data lifecycle management.

???Proficiency in designing and implementing data tools, technologies, and processes.

???Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling.

???Strong command of data integration techniques and data quality management.

???Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, alteryx, Nifi, SSIS, etc.

???Familiarity with cloud platforms and services, such as AWS, GCP, or Azure.

???Excellent problem-solving skills and ability to provide innovative data solutions.

???Strong leadership skills with a proven track record of guiding and mentoring a team