Shift No shift premium (India) A professional at this position, works with the business users, technologists, analyzes systems, and gathers how data is used in them.
Determines methods and procedures to analyze source data, extract - transform - load (ETL) the data into downstream environment, improve data quality, and make the data usable for consumption.
Researches, designs, develops, configures, integrates, tests and maintains existing and new data and analytical solutions including databases through integration of technical and business requirements.
Data and analytical solutions include ERP systems, open source software, custom home-grown systems, and 3rd party software.
Provides required documentation and participates in architecture reviews to ensure that the solutions comply with standards and use approved technologies.
Typical customers are HP Enterprise's end users and various functional areas such as Supply Chain, Research and Development, Marketing, Finance, a business, or the company.
Performs analysis of functional and business requirements. Completes data analysis, ETL, batch and real-time intergtation codes to implement solutions.
Develops data integration and exploratory data analysis codes independently; participates in code reviews and may lead code reviews.
Works with business and system teams to design, prepare and automate test cases. Applies in-depth or broad technical knowledge to maintain data engineering.
Performs solution design. Applies the company, open source, and 3rd party technologies to highly complex infrastructure and software solutions.
Education and Experience Required Typically a technical Bachelor's degree or equivalent experience and a minimum of 6 years related experience or a Master's degree and a minimum of 4 years of experience.
Knowledge and Skills 3 or more years of experience in exploratory data analysis and integration 3 or more years of experience writing SQL and Python / Java / Scala codes .
Knowledge of open source software development tools such as Kafka and data science models. Deep level of Hadoop knowledge, platforms, integration Experience of multiple full release cycles.
Understanding of Software Test methodologies, and testing tools. General Project Management