Designs, builds, and maintains scalable and reliable data pipelines and platforms for analytics, reporting, and data-driven decision-making.
About the role
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