We are looking for a skilled Data Engineer to join our team in Cypress, California, specializing in creating scalable and high-performance data integration and analytics solutions. This role involves transforming raw data into actionable insights, utilizing cutting-edge technologies to support business objectives. The ideal candidate will have a strong background in data preparation, optimization, and engineering workflows, along with a collaborative approach to solving complex problems.<br><br>Responsibilities:<br>• Design and develop technical solutions for medium-to-high complexity data integrations across multiple platforms.<br>• Collect, clean, and standardize structured and unstructured data to enable efficient analysis.<br>• Build reusable frameworks and pipelines to streamline data preparation and optimization.<br>• Create and maintain data workflows, troubleshooting issues to ensure seamless operation.<br>• Apply statistical and mathematical methods to generate actionable insights from data.<br>• Collaborate with cross-functional teams to translate business requirements into technical solutions.<br>• Document processes and workflows, ensuring alignment with organizational standards.<br>• Adhere to governance policies, best practices, and performance standards for scalability and reliability.<br>• Proactively recommend and implement system improvements, including new tools and methodologies.<br>• Support the adoption of innovative technologies to enhance data engineering capabilities.

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.<br>• Minimum of 4 years of experience in data engineering and analytics.<br>• Proficient in Informatica Data Management Cloud and programming languages such as Python and R.<br>• Hands-on experience with big data technologies, including Apache Spark, Hadoop, and Kafka.<br>• Expertise in ETL processes and NoSQL databases.<br>• Familiarity with AWS services such as Glue, Lambda, Step Functions, and Athena.<br>• Strong skills in data wrangling, cleansing, and maintaining data quality.<br>• Proven ability to deliver data-driven solutions that create measurable business value.

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