About the RoleWe are seeking a highly experienced Lead Data Engineer to design, build, and automate scalable data platforms. The ideal candidate will have strong hands-on expertise in DBT, Fivetran, Amazon Redshift, Elementary (data observability), job automation tools, and modern development practices using VS Code and Git. Data Architect capability is preferred to help define long-term data platform strategy and standards.Key Responsibilities* Lead the design and implementation of enterprise-scale data warehouse solutions using Amazon Redshift.* Architect and manage automated data ingestion pipelines using Fivetran.* Develop, test, version, and optimize data transformations using dbt.* Implement and manage data observability using Elementary to ensure data quality, freshness, and reliability.* Design and maintain job automation and scheduling frameworks for data pipelines.* Apply Git-based version control and collaborative development using VS Code.* Define CI/CD standards, conduct code reviews, and enforce best practices.* Contribute to data architecture decisions, including data modeling standards, scalability, and performance optimization.* Mentor team members and collaborate with stakeholders to deliver robust data solutions.Required Skills & Qualifications* 10+ years of experience in Data Engineering.* Mandatory Hands-on Experience with: Amazon Redshift or similar cloud data warehouses* dbt or similar data transformation frameworks.* Fivetran or similar ELT/data ingestion tools* Elementary or similar data observability tools* Automation and job scheduling tools (e.g., Airflow, dbt Cloud, AWS Step Functions, Control-M, or similar)* VS Code and Git or similar IDEs and version control system* Strong SQL skills and solid understanding of data warehousing concepts.* Experience working on cloud platforms (preferably AWS).* Strong leadership, communication, and stakeholder management skills.Preferred Qualifications* Data Architect capability, including defining end-to-end data architecture and governance standards.* Experience with dimensional modeling, data lake/lakehouse architectures.* Python scripting for automation and data engineering tasks.* Exposure to BI and analytics tools (Tableau, Power BI, Looker).* Experience in enterprise-scale data platforms.* Experience in Agile processes and has a strong grasp of Software Development Lifecycle (SDLC) concepts.Soft Skills & Behavioral Requirements* Self-learner with the ability to quickly adapt to new technologies and tools* Strong grasping ability with a clear understanding of complex systems and workflows* Excellent troubleshooting and root-cause analysis skills* Proactive problem-solver with a hands-on and ownership-driven mindset* Ability to work independently with minimal supervision
Job Title
Senior Data Engineer