Data Engineer

Responsibilities:Build and maintain data-ingestion processes for enterprise datasets.Write Python, PySpark, and SQL for data-processing and transformation tasks.Assist with cleansing, validation, reconciliation, and schema enforcement.Support data pipelines across layered data environments.Monitor scheduled workflows and help investigate pipeline failures.Collaborate with technical and business teams onboarding data onto the platform.Document pipeline logic, transformations, technical decisions, and fixes.Participate in code reviews, testing, version control, and deployment processes.Role Requirements:0 to 2 years of experience in data engineering, software development, analytics engineering, or a related area. Internships and academic projects count.Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline.Foundational SQL skills including joins, aggregations, and filtering.Hands-on Python programming ability.Basic understanding of object-oriented programming.Strong understanding of tables, schemas, relational data, and data transformations.Exposure to Spark, PySpark, or similar distributed-data technologies.Interest in learning Databricks and modern cloud-data platforms.Strong problem-solving and attention to detail.Ability to communicate clearly and collaborate across teams.Nice to Have:Databricks experience, coursework, or certification.Familiarity with medallion architecture or DeltaLake.Azure, AWS, or GCP experience.Financial-services exposure.Experience or personal projects involving AI or agentic-AI technologies.