? 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

Qualifications:

???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.

All About You:

? ??5-8 years of experience in Data Warehouse related projects

? ??Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment

? ??Experience of building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage

? ??Experience of working with Databases like MS SQL Server, Oracle and have strong SQL knowledge

???Experience in BI tools like Tableau, PowerBI

? ??Experience of working on Alteryx, SSIS, NiFi added advantage

? ??Experience of working on automation in data flow process in a Big Data environment.

? ??Experience of working in Agile teams

? ??Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan

? ??Strong communication skills - both verbal and written ? and strong relationship, collaboration skills and organizational skills

? ??Ability to multi-task across multiple projects, interface with external / internal resources and provide technical leadership to junior team members

? ??Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results

? ??Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement

? ??Flexibility to work as a member of a matrix based diverse and geographically distributed project teams

???Create and maintain a robust data environment that adheres to Mastercard standards and best practices.

???Oversee the management and optimization of data warehouses and data lakes.

Data Analysis