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