Desired Candidate Profile
Handle large datasets, both clean and un-clean, and work with teammates to build technical data infrastructure solutions and models that are scalable, fast, maintainable and reusable.
Design, implement and maintain enterprise data warehouse and data marts including development of proof-of-concepts in alignment with data and analytics vision and strategy.
Develop ETL specifications, source to target mappings and other documentation required for ETL development
Understand and aid in implementation of database requirements, troubleshoot issues, analyze and optimize performance.
Development and deployment of robust and scalable data platforms for advanced analytics and data processing.
Help architect, build and launch highly scalable and reliable data pipelines.
Accountable for leading and mentoring other team members in best practices, standardization and procedures around data warehousing and development processes to ensure data quality and integrity
Research, maintain and evaluate emerging data engineering and warehousing technologies and solutions for continuous improvements to solve business problems. Qualifications:
Bachelor's degree in a science, technology, engineering, or math related field or equivalent work experience
6 to 8+ years of Data Engineering experience (preferably working in an ODS or Data Warehouse)
Preference will be given to candidates who have a strong Software Development/Engineering background
Exposure to Hadoop,Apache Spark or AWS Cloud Native ETL preferred.
Should have experience in designing a Data Warehouse
Education:
UG: B.Tech/B.E. - Any Specialization, Computers
PG: M.Tech - Any Specialization, Computers, MCA - Computers
Doctorate: Doctorate Not Required
Contact Details:
Keyskills:
Spark
ETL
Data Quality
Data Warehousing
Advanced Analytics
Data Analytics
Software Development
Data Processing
Data Modeling