Lead Data Engineer

OverviewWe are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and architectures to support advanced analytics and business intelligence initiatives. This role offers an exciting opportunity to lead data engineering projects, collaborate with cross-functional teams, and drive innovation in data management solutions. Candidates should possess strong expertise in cloud platforms, big data technologies, and database systems, with a focus on delivering high-quality data solutions that enable strategic decision-making. Required Skills & Qualifications: 5+ years of experience in Data Engineering with a strong focus on AWS Cloud. Proficiency in Python, SQL, and PySpark. Hands-on experience with: AWS Glue Apache Kafka Amazon S3 AWS Lambda AWS Step Functions CloudFormation Templates (CFT) Solid understanding of AI/ML concepts and experience integrating models into data pipelines. Experience with CI/CD tools and DevOps practices in cloud environments. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Preferred Qualifications: AWS certifications (e.g., AWS Certified Data Analytics, Solutions Architect). Familiarity with containerization (Docker, ECS) and orchestration tools (Airflow, EMR). Knowledge of data governance frameworks and compliance standards. Job Type: Contract Pay: $65.03 - $88.32 per hour Work Location: Remote