Data Engineer (Senior)

Job Title : Data Engineer (Senior)Role PurposeThe 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 ResponsibilitiesDesign, build, and maintain robust ETL/ELT pipelines for structured and unstructured dataOptimize data storage, processing, and access to ensure performance, scalability, and reliabilityDevelop and maintain data models that support analytics, reporting, and downstream consumptionCollaborate closely with analytics, reporting, and business teams to understand data requirementsEnsure data quality, integrity, security, and compliance with governance and regulatory standardsMonitor, troubleshoot, and continuously improve data pipelines and platform performanceContribute to data architecture standards, best practices, and technical documentationRequired Experience & SkillsMinimum 7+ years of experience in data engineering or related rolesStrong proficiency in SQL and Python; experience with distributed processing frameworks such as SparkHands-on experience with cloud data platforms and modern data architecturesSolid understanding of data modeling, data warehousing, and performance optimization techniquesExperience working in banking or other highly regulated environmentsStrong problem-solving skills and ability to work independently in complex technical environmentsNice to HaveExperience with real-time or streaming data technologies (e.g., Kafka, Kinesis)Familiarity with data governance, lineage, and metadata management toolsExperience with CI/CD pipelines, infrastructure as code, or DevOps practices for data platformsExposure to data visualization or BI tools and analytics workflowsExperience mentoring junior engineers or leading technical initiativesOriginally posted on Himalayas