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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.
Job Responsibility:
Design and develop technical solutions for medium-to-high complexity data integrations across multiple platforms
Collect, clean, and standardize structured and unstructured data to enable efficient analysis
Build reusable frameworks and pipelines to streamline data preparation and optimization
Create and maintain data workflows, troubleshooting issues to ensure seamless operation
Apply statistical and mathematical methods to generate actionable insights from data
Collaborate with cross-functional teams to translate business requirements into technical solutions
Document processes and workflows, ensuring alignment with organizational standards
Adhere to governance policies, best practices, and performance standards for scalability and reliability
Proactively recommend and implement system improvements, including new tools and methodologies
Support the adoption of innovative technologies to enhance data engineering capabilities
Requirements:
Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field
Minimum of 4 years of experience in data engineering and analytics
Proficient in Informatica Data Management Cloud and programming languages such as Python and R
Hands-on experience with big data technologies, including Apache Spark, Hadoop, and Kafka
Expertise in ETL processes and NoSQL databases
Familiarity with AWS services such as Glue, Lambda, Step Functions, and Athena
Strong skills in data wrangling, cleansing, and maintaining data quality
Proven ability to deliver data-driven solutions that create measurable business value
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