Lead Data Engineer 8+ years - Bengaluru-Chennai

Company Description Optim.hire is a technology-focused organization that connects businesses with specialized talent to build and scale modern data and software solutions. The company emphasizes remote-friendly work environments, enabling team members to contribute from diverse locations while collaborating closely with clients and internal stakeholders. Optim.hire values technical excellence, practical problem-solving, and clear communication to deliver high-impact outcomes. Team members are encouraged to take ownership of projects, learn continuously, and work with contemporary tools and methodologies in data engineering and analytics.
Role Description As a Lead Data Engineer (8+ years), you will design, build, and maintain scalable data platforms that support advanced analytics, reporting, and business intelligence. You will lead the architecture and implementation of data pipelines, data models, and warehousing solutions, ensuring reliability, performance, and data quality across the ecosystem. Day-to-day, you will collaborate with data analysts, data scientists, and product teams to understand requirements, translate them into technical designs, and implement robust ETL processes. You will mentor junior engineers, establish best practices, review code, and guide decisions around tooling, standards, and data governance. This is a full-time, remote role that requires proactive communication, strong ownership, and the ability to work effectively across distributed teams.
Qualifications
Strong Data Engineering skills, including building and maintaining scalable data pipelines and distributed data processing solutions.
Experience with Data Modeling and Data Warehousing to design efficient schemas and support reporting, analytics, and BI workloads.
Hands-on expertise with Extract Transform Load (ETL) processes and tooling, including orchestration, automation, and monitoring for data workflows.
Proficiency in Data Analytics concepts, collaborating with analytics and data science teams to make data accessible, reliable, and well-documented.
Advanced proficiency in SQL and experience with at least one modern programming language commonly used in data engineering (e.g., Python, Scala, or Java).
Experience with cloud data platforms and services (e.g., AWS, Azure, or GCP) and modern data stack tools (e.g., Spark, Kafka, dbt, or similar).
Demonstrated ability to lead technical initiatives, mentor engineers, and define standards for data quality, security, and governance.
Excellent communication skills, with the ability to work effectively in remote, cross-functional teams and manage multiple priorities.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.

Work arrangement
Hybrid