Job description
Primary & Must have:
Python/PySpark & GCP Cloud Must with experience
Hadoop Ecosystem Exposure (knowledge on HDFS, Hive, Big data)
SQL (Strong in SQL as this is the base to whatever we do in HQL)
CLOUD working experience- GCP preferred
Job Description
Total IT exp of 5-12 years
Knowledge of Cloud (GCP).
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g. Java and Python)
Hands-on experience with SQL database design
Great numerical and analytical skills
Soft Skills:
Good communication skills
Flexible to work and learn on new technologies
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.