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 Originally posted on Himalayas