Title and Summary
Lead Software Engineer
Overview:
Are you a skilled and visionary Data Engineer with a passion for shaping robust data environments and driving impactful data governance practices? Join our Community Pass team at Mastercard and play a pivotal role in defining, building, and optimizing data tools, technologies, and processes.
As the Lead Data Engineer, you will spearhead the creation of a reliable and efficient data ecosystem, enabling the delivery of exceptional Data & Analytics Services to both our customers and internal stakeholders.
Role: As the Lead Data Engineer for Community Pass, you will be the driving force behind the development and execution of cutting-edge data governance strategies and data environment frameworks.
Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will lead a team of data engineers, collaborate with cross-functional teams, and establish data-related best practices in alignment with Mastercard standards.
Qualifications:
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience as a Lead Data Engineer or similar role.
• Deep understanding of data governance principles 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, SQL, NoSQL databases, 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.
Responsibilities:
• Define and build comprehensive tools, technologies, and processes for data governance across raw, transformed, and enriched datasets.
• Create and maintain a robust data environment that adheres to Mastercard standards and best practices.
• Collaborate with cross-functional teams to understand data requirements and design effective data solutions.
• Lead the design, development, and implementation of ETL/ELT processes and data pipelines.
• Implement data quality measures, ensuring accurate and reliable data for analytics and reporting.
• Utilize advanced data technologies to enable efficient data storage, processing, and analysis.
• Oversee the management and optimization of data warehouses and data lakes.
• Mentor and guide a team of data engineers, fostering a culture of collaboration and excellence.
• Stay current with industry trends and emerging data technologies to drive innovation.
• Provide technical expertise and leadership in data-related discussions and decisions.
• Collaborate with stakeholders to understand business needs and deliver impactful data solutions.
Attributes:
• Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
• Detail-oriented and committed to maintaining high data quality and integrity.
• Proactive attitude towards problem-solving and continuous improvement.
• Results-driven with a focus on delivering reliable and valuable Data & Analytics Services.
• Ability to lead and inspire a team to achieve exceptional results.
• Collaborative and adaptable, thriving in a dynamic and fast-paced environment.