Data Analyst

Key Skills

Python Sql Pyspark Hadoop Qliksense Qlikview Data Analyst

Job Description

Sourcing / loading / transforming and storing data:

Managed data pipelines consist of a series of stages through which data flows (for example, from

data sources or endpoints of acquisition to integration to consumption for specific use cases).

These data pipelines have to be created, maintained and optimized as workloads move from

development to production for specific use cases. Architecting, creating and maintaining data

pipelines will be the primary responsibility of the data engineer.

Drive Automation through effective metadata management:

The data engineer will be responsible for using innovative and modern tools, techniques and

architectures to partially or completely automate the most-common, repeatable and tedious data

preparation and integration tasks in order to minimize manual and error-prone processes and

improve productivity. The data engineer will also need to assist with renovating the data

management infrastructure to drive automation in data integration and management.

Learning and using modern data preparation, integration and AI-enabled metadata management tools and techniques.

Tracking data consumption patterns.

Performing intelligent sampling and caching.

Recommending and automating existing and future integration flows.

Data compliance and governance:

Experience : 3 - 7 Years

No. of Openings : 20

Education : Any Bachelor Degree, M.C.A, M.Sc

Role : Data Analyst

Industry Type : Recruitment Consulting / Staffing Services

Gender : Female

Job Country : India

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