Lead Cloud Data Engineer

About

We are looking for a highly experienced Data Engineer – AWS Tech Lead to design and lead scalable cloud‑based data solutions. This role will combine hands‑on engineering with leadership responsibilities, guiding a team of data engineers while collaborating with architects, product owners, and business stakeholders. The ideal candidate will have deep expertise in AWS data services, ETL/ELT pipelines, and big data frameworks, with proven experience in leading technical delivery.

Responsibilities

• Lead the design, development, and deployment of large‑scale data pipelines and solutions on AWS
• Provide technical leadership and mentorship to a team of data engineers, ensuring best practices in coding, architecture, and performance optimization
• Architect data lake and data warehouse solutions leveraging AWS Glue, Redshift, S3, Athena, EMR, and Lambda
• Drive development of ETL/ELT processes using PySpark, Python, and SQL
• Implement and enforce data governance, quality checks, and security standards across the platform
• Collaborate with business analysts, data scientists, and product teams to translate business requirements into scalable solutions
• Optimize cost and performance of AWS‑based data workloads
• Troubleshoot production issues and ensure high availability of data pipelines
• Participate in sprint planning, backlog refinement, and Agile ceremonies as a technical lead

Required Qualifications

• 13+ years of experience in Data Engineering, with at least 4+ years in a technical leadership role
• Strong expertise in AWS data services: Glue, S3, Redshift, Athena, Lambda, Step Functions, EMR
• Proficiency in PySpark, Python, and SQL for large‑scale data processing
• Solid experience in data modeling (star, snowflake, dimensional modeling) and data lake/warehouse architecture
• Proven track record in leading and mentoring a data engineering team
• Strong understanding of Agile methodologies and CI/CD practices for data pipelines

Preferred Qualifications

• Experience in BFSI / Wealth Management domain
• AWS Certification (Data Analytics Specialty, Solutions Architect, or Big Data)
• Familiarity with containerization (Docker, Kubernetes) and orchestration frameworks

Education

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
• Master’s degree preferred