Job Description We are seeking a highly skilled and experienced Principal Engineer in Data Analytics to lead and solution provider to accelerate digital transformation.
At this position, you will be responsible for overseeing the end-to-end data engineering lifecycle, from data acquisition and storage to processing and analysis.
You will collaborate closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand data requirements and develop robust data solutions that support our business objectives.
Lead the design, development, and implementation of scalable data pipelines and ETL processes to collect, transform, and load data from various sources into our data ecosystem.
Collaborate with business stakeholders to understand their data analysis needs and translate them into clear and actionable research questions and objectives Build and maintain interactive dashboards and data visualization tools to communicate findings and insights to senior management and stakeholders.
Design and develop data visualization to have an easy way to access the data and monitor the line Collaborate with data scientists to deploy machine learning models into production environments and integrate them with data pipelines for real-time inference and batch processing Explore the data to find efficiency improvement opportunities and co-work with business owner to realize in line Drive innovation in data analysis techniques and methodologies, staying abreast of industry trends and emerging technologies Qualifications Bachelor's Degree or higher in Computer Science, IT , Engineering or equivalent fields.
At least 5-7 years of relevant experience.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and big data platforms, esp.
MySQL, PostgreSQL and MSSQL.
Proficiency in programming languages such as Python, Java, or Scala, with a strong emphasis on writing clean, maintainable, and efficient code.
Strong problem-solving skills and analytical thinking, with the ability to troubleshoot complex data issues and optimize performance.
Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.
Hands-on experience with big data technologies and frameworks, including Hadoop, Spark, Kafka, and Hive is a PLUS.
Preferred: Experience with containerization and orchestration technologies such as Docker and Kubernetes Additional Information All your information will be kept confidential according to EEO guidelines.
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