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Job Description: - Below is an illustrative list of activities EMIDS resources may be required to perform for the Customer, however, the Services, quality and timeliness of these activities performed by EMIDS under this SOW will be explicitly directed and managed by the Customer.
Data engineering, data management and analytics services such as: - Implement the Customer’s Data science & Analytics initiatives.
- Implement/ execute various data initiatives identified as part of overall Data & Analytics strategy.
- Work closely with business and IT stakeholders on analyzing the requirements and document the need
- Migrate existing and onboard new clients of Customer on the new Implementation.
- Perform Data Engineering analysis to build new or enhance existing Data Engineering functionalities.
- Collaborate with business stakeholders on the identification of high-value Data Science use cases.
- Perform Data Science Analysis to build new and enhance existing Data Science models & algorithms.
- Design and conceptualize physical data architecture.
- Integrate data and establish Data Lake and Enterprise Data Models.
- Perform data analysis, data querying, data validation functions.
- Perform data transformation activities.
- Perform data processing and data load activities.
- Design and development of new reports.
- Analyzing, rationalizing and consolidation of reports
Job Responsibility
• Needs to be very strong in Python for data processing, PySpark, Big Data (Hadoop ecosystem – HDFS, Spark with DeltaLake, Hive, SQL), Linux shell scripting, CI/CD tools, SDLC and automation.
• Soft skills - Should have great communication, own the delivery and be a team-player.
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