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