Technical Data Lead (Fort Mill)

Technical Data Lead Location – Fort Mill, SC Responsibilities Design, develop, and implement data pipelines using AWS Glue and Lambda to support data ingestion and transformation. Utilize PySpark for data processing and analysis, ensuring efficient data handling and performance optimization. Implement Infrastructure as Code (IAC) using Terraform (TF) to automate deployment and management of cloud resources. Develop and maintain SQL queries for data extraction, transformation, and loading (ETL) processes. Manage containerized applications using Docker and orchestrate them with Amazon EKS. Design and optimize data warehouse solutions using Snowflake (SF) or Redshift (RS) to support analytics and reporting. Work with data lake technologies such as Iceberg, Lake Formation, and Delta tables to enhance data accessibility and governance. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Ensure data quality, integrity, and security throughout the data lifecycle. Stay updated with the latest industry trends and technologies to continuously improve data engineering practices. Mandatory Skills Strong experience with AWS services, particularly Glue and Lambda. Proficiency in PySpark for data processing. Expertise in Infrastructure as Code (IAC) using Terraform. Solid SQL skills for data manipulation and querying. Experience with containerization using Docker and orchestration with EKS. Hands-on experience with data warehousing solutions like Snowflake or Redshift. Familiarity with data lake technologies such as Iceberg, Lake Formation, and Delta tables. Proven ability to work in a cloud environment. Preferred Skills Experience with data governance and data quality frameworks. Knowledge of data modeling and database design principles. Familiarity with Agile methodologies and project management tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 8-12 years of experience in data engineering or a related role. Proven track record of delivering data solutions in a cloud environment. Strong understanding of data architecture and data management best practices.