Data Engineer (Senior)

Job Title : Data Engineer (Senior) Role Purpose The Senior Data Engineer is responsible for designing, building, and maintaining scalable and reliable data pipelines and platforms that enable analytics, reporting, and data-driven decision-making across the organization. Key Responsibilities Design, build, and maintain robust ETL/ELT pipelines for structured and unstructured data Optimize data storage, processing, and access to ensure performance, scalability, and reliability Develop and maintain data models that support analytics, reporting, and downstream consumption Collaborate closely with analytics, reporting, and business teams to understand data requirements Ensure data quality, integrity, security, and compliance with governance and regulatory standards Monitor, troubleshoot, and continuously improve data pipelines and platform performance Contribute to data architecture standards, best practices, and technical documentation Required Experience & Skills Minimum 7+ years of experience in data engineering or related roles Strong proficiency in SQL and Python; experience with distributed processing frameworks such as Spark Hands-on experience with cloud data platforms and modern data architectures Solid understanding of data modeling, data warehousing, and performance optimization techniques Experience working in banking or other highly regulated environments Strong problem-solving skills and ability to work independently in complex technical environments Nice to Have Experience with real-time or streaming data technologies (e.g., Kafka, Kinesis) Familiarity with data governance, lineage, and metadata management tools Experience with CI/CD pipelines, infrastructure as code, or DevOps practices for data platforms Exposure to data visualization or BI tools and analytics workflows Experience mentoring junior engineers or leading technical initiatives