Job Title: AWS Tech Lead Location: Fort Mill, SC or Austin, TX (Hybrid) Full time Job SummaryWe 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. Key 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 architectures.
• Proven track record in leading and mentoring data engineering teams.
• 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.

Job Title: AWS Tech Lead Location: Fort Mill, SC or Austin, TX (Hybrid) Full time Job SummaryWe 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. Key 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 architectures.
• Proven track record in leading and mentoring data engineering teams.
• Strong understanding of Agile methodologies and CI/CD practices for data pipelines