Big Data Engineer - Contract to Hire - W2 Only

We are seeking a Big Data Engineer for one of our clients. The ideal candidate will have strong experience in Java/J2EE development, Agile delivery, and CI/CD practices and a proven ability to design, build, test, deploy, and maintain secure, resilient applications. Responsibilities: • Design, develop and maintain scalable and large-scale data processing pipelines and infrastructure on the cloud following engineering standards, governance standards and technology best practices • Develop and optimize data models for large-scale datasets, ensuring efficient storage, retrieval, and analytics while maintaining data integrity and quality. • Collaborate with cross-functional teams to translate business requirements into scalable and effective data engineering solutions. • Demonstrate a passion for innovation and continuous improvement in data engineering, proactively identifying opportunities to enhance data infrastructure, data processing and analytics capabilities. Required Skills & Qualifications: • Strong analytical problem solving and critical thinking skills • Proficiency in at least one programming language ( Python, if not Java or Scala) • Proficiency in at least one distributed data processing framework ( Spark or similar) • Proficiency in at least one cloud data Lakehouse platforms (AWS Data lake services or Databricks, alternatively Hadoop), • Proficiency in at least one scheduling/orchestration tools ( Airflow, if not AWS Step Functions or similar) • Proficiency with relational and NoSQL databases. • Proficiency in data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), and big-data storage formats (Parquet, Iceberg, or similar), • Experience working in teams following Agile methodology • Experience with test-driven development (TDD) or behavior-driven development (BDD) practices, as well as working with continuous integration and continuous deployment (CI/CD) tools.