Data Engineer (Senior)

About this 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

Originally posted on Himalayas