Data Engineer (Azure)

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Key Responsibilities:

Build the data pipeline and have an optimal ETL process to populate a reporting optimized database using Azure Data Factory.
Monitor and manage data pipelines, ensuring data accuracy and stability
Design the architecture, build, and deploy the data platform that provide intuitive analytics across the business
Build data transformation layers that meet business requirements and are cost effective using Databricks.
Design and grow the data platform to support a variety of data use case (batch analysis, real-time analytics, data science ...)
Define, improve, and apply a Data governance framework
Collaborate with the business teams, challenge them functionally on their new needs and analyse the technical feasibility
Evangelize the releases to user, gathering feedback and tracking usage to improve future evolution
Identify and improve delivery (data project management, automating manual processes, optimizing data delivery, re-designing architecture for greater scalability ...)
Enliven the local data community
Implement DevOps platform, framework, tools and continuous improvement/continuous delivery for data engineering projects

Role Proficiencies:

Bachelorâ€™s degree or above in data engineering, IT, computer science, or related field
3-5 years of experience, with experience in being the subject matter expert on Azure implementation
Demonstrated experience in a similar role, using Microsoft Azure
Proficient in SQL, Python, ADF and Databricks
Strong analytical skills, with keen attention to detail
Strong communication skills in English, both written and verbal
Ability to work independently and as part of a team

Experience:
3 - 5 Years
Salary:
18 LPA - 20 LPA
Diversity Candidate:
No
Location:
Multiple cities
Address:
Multiple cities
Primary Skills:
Data pipelines, ETL Process, Azure Implementation, SQL, Python, ADF, Databricks
Industry:
Information Technology/IT
Job Type:
Full time
Degree:
Bsc, Msc, B.tech, Mtech, BCA, MCA