Specialist - Data Engineering

":" Education Qualification : Engineer - B.E / B.Tech / MCA Skills : Primary -> Technology | Data Analytics Activities | Data Integration | 3 - Experienced Primary -> Technology | Data Analytics Activities | Data Mining | 3 - Experienced Secondary -> Technology | Data Analytics Activities | Data Processing | 3 - Experienced Secondary -> Technology | Big Data Tools / Systems | Streams | 3 - Experienced Tertiary -> Technology | BI, DWH, ETL Roles | DWH Architect | 3 - Experienced Tertiary -> Technology | Data Analytics Activities | Data Analysis | 3 - Experienced Tertiary -> Functional | Pre Sales Support Activities | Responding to RFPs | 3 - Experienced Certification : Technology | IT Certifications | Microsoft Certification | Perform Data Engineering on Microsoft HD Insight Details: The Professional will be responsible to analyse methods to improve data reliability and quality. They will be responsible to combine raw information from different sources to create consistent and machine-readable formats. They also will need to develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. 1. Analyze and organize raw data 2. Build data systems and pipelines 3. Evaluate business needs and objectives 4. Interpret trends and patterns 5. Conduct complex data analysis and report on results 6. Prepare data for prescriptive and predictive modeling 7. Build algorithms and prototypes 8. Combine raw information from different sources 9. Explore ways to enhance data quality and reliability 10. Identify opportunities for data acquisition 11. Develop analytical tools and programs 12. Collaborate with data scientists and architects on several projects" , "endtDate":null , "qualification":null , "companyId":15429 , " Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.