Senior Data Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Collaborate directly with enterprise clients and business stakeholders to identify data challenges, outline requirements, and deliver scalable solutions.

• Take ownership of technical delivery for client engagements from the discovery phase and solution design through to implementation and adoption.

• Assist clients in maximizing the value of Resilinc’s data and analytics capabilities through effective solution design and execution.

• Present technical architectures, implementation strategies, and business outcomes to both technical and executive audiences.

• Design, construct, and maintain scalable batch and real-time data pipelines and data products utilizing Databricks, ClickHouse, Python, and distributed data processing frameworks.

• Architect modern cloud-native data platforms by leveraging Databricks, Delta Lake, Azure Data Services, and distributed processing technologies.

• Develop robust ETL/ELT frameworks, data models, and processes for monitoring data quality.

• Enhance data storage, query performance, scalability, reliability, and cost efficiency across extensive datasets.

• Create and maintain data products that support analytics, reporting, operational workflows, and AI/ML applications.

• Work closely with Product, Engineering, Solutions Consulting, and Customer Success teams to achieve customer outcomes.

• Champion best practices in data governance, security, observability, reliability, and operational excellence.

• Participate in architectural decisions, technical design reviews, and the evolution of the platform.

• Mentor junior engineers and contribute to engineering best practices.

⛳️ Requirements

• BE/MS in Computer Science, Information Technology, Engineering, or a related field.

• Over 5 years of experience in data engineering, data platform development, or related fields.

• Extensive experience with Databricks, Apache Spark, Delta Lake, or similar distributed data processing technologies.

• Familiarity with cloud-based data platforms and services, preferably Azure or equivalent cloud ecosystems.

• Experience in designing and operating analytical data platforms using ClickHouse or similar high-performance analytical databases.

• Advanced skills in Python and SQL, coupled with strong software engineering fundamentals.

• Proven experience in building scalable ETL/ELT pipelines, orchestration workflows, and modern data architectures.

• Strong knowledge of data modeling, data warehousing, and analytics platform design.

• Experience in implementing CI/CD, infrastructure automation, and DevOps practices for data platforms.

• Excellent communication and stakeholder management abilities, with the capacity to translate business requirements into technical solutions.

• Aptitude for navigating ambiguity, driving outcomes independently, and thriving in customer-facing scenarios.

🏝️ Benefits

• Comprehensive benefits package for health, wealth, and wellbeing.