Data Engineer, Business Process Reengineering

Location

Secunderabad | India

Job description

Key Qualifications

• 10-12 years of relevant experience in design, development and maintenance of Business Intelligence, reporting and data applications
• Advanced hands on experience with Tableau or similar BI dashboard visualization tool and in reporting platforms like Tableau
• Experience in UI design, development and for custom build analytics applications
• Expertise in programmatically processing large data sets from multiple source systems, integration, data mining, summarization and presentation of results to exec audience in cloud based systems like Snowflake, Singlestore
• Hands on experience in Logistics, Finance and various Operations functions (Planning, Order Management, Forecasting)
• Strong understanding of dev to production processes, User Acceptance and Production Validation testing, waterfall and agile development and code deployment methodologies
• Experience in core data warehousing concepts, dimensional data modeling, RDBMS, OLAP, ROLAP
• Experience with ETL tools used to automate manual processes (Airflow, SQL scripts)
• Experience with Python is a plus

Description

- Design, develop, and support large scale, highly performant data semantics for one of our most complex data ecosystems - Engage with business teams to partner on requirements gathering, design reviews, architectural decisions and project planning - Work with Apple's IS&T team to drive development of tools to better support business analytics. Partner with other Apple organizations on data governance, reporting tools, hierarchy management and critical metrics. - Lead design and development of operationally effective solutions using the best available technology. Manage multiple technical projects and across competing priorities. - Proven expertise in translating ambiguous business requirements into technical and analytical insights using various technology platforms. - Demonstrated experience to show strong work ethic and passion to go above and beyond, and willingness to work with a global and geographically diverse team.

Education & Experience

Bachelors in Computer Science, Statistics, Business Analytics, Finance, Marketing or related field. Masters degree a plus. Knowledge about Advanced analytics, Machine Learning skills are added advantages.

Job tags

Salary