Databricks Data Engineer

Job Description: We are looking for a highly experienced Data Engineer to join our product organization in a full-time role. This position focuses on Big Data systems design and data architecture, with a special emphasis on Spark and Delta/Data Lake technology. In this role, you will help design, develop, enhance, and maintain complex data pipeline and API products that manage business-critical operations and large-scale analytics. We are looking for applicants who demonstrate a capability to learn new concepts quickly and bring a robust background in data engineering or software engineering expertise. Responsibilities Collaborate: Work collaboratively with other engineers to architect and implement complex systems with minimal oversight, while partnering with team leadership to identify how best to improve and expand platform capabilities. Build & Design: Design, develop, and maintain complex data pipeline products that support business-critical operations and large-scale analytics applications. Support the Team: Partner with analytics, data science, and engineering teams to understand and solve their unique data needs and challenges. Continuous Learning: Dedicate time to staying current with the latest developments in the space and embrace new concepts to keep up with fast-moving data engineering technology. Autonomy: Enjoy a role that offers strong independence and autonomy while contributing to the technical maturity of the organization. Qualifications & Skills Experience: 5+ years of Data Engineering experience, including 4+ years designing and building Databricks data pipelines is essential. While Azure cloud experience is preferred, we are happy to consider experience with AWS, GCP, or other cloud platforms. Technical Stack: 4+ years of hands-on experience with Python, Pyspark, or SparkSQL is key. Experience with Scala is a plus. 4+ years of experience with Big Data pipelines or DAG Tools (such as Airflow, Dbt, Data Factory, or similar). 4+ years of Spark experience, especially with Databricks Spark and Delta Lake. 4+ years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes. 5+ years of relevant software development experience, including Python 3.x, Django/Flask Frameworks, FastAPI (or other standard industry API), and relational databases (SQL/ORM). Additional Skills (Great to have): Experience with Microsoft Fabric specifically with Pyspark on Fabric and Fabric Pipelines Experience with conceptual, logical, and/or physical database designs. Strong SQL experience, specifically writing complex, highly optimized queries across large volumes of data. Strong data modeling/profiling capabilities using Kimball/star schema methodology as well as medallion architecture. Professional experience with Kafka, EventHub or other live streaming technologies. Familiarity with database deployment pipelines (e.g., dacpac or similar). Experience with unit testing or data quality frameworks. Beware of scams Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) notification@smartrecruiters.com domain email address regarding your application and interview requests. All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.