Azure Data Engineer
3 weeks ago
Job Description
Role - Azure Data Engineer
Experience : 7 -12 Years
NP - Immediate to This month Currently Serving (Excess Notice Period Please don&apost apply we won&apost considered)
Location - Chennai, Coimbatore, Kochi, Mumbai and Pune
Interested and Relevant Candidates can share your CVs to [Confidential Information] (or) WhatsApp/Call - 6385810755
Strictly No Fresher CVs and Irrelevant CVs
- Please Stick on to Experience Range and Skills *
Overview
Demonstrated experience in successfully delivering multiple end-to-end data analytics projects on
Azure, following the complete software development life cycle (SDLC). Proven track record of
building data pipelines for streaming, near-real time, and batch data processing, utilizing the
various technologies available in Azure. Hands-on experience in developing comprehensive end-to-
end solutions, with the ability to understand the big picture and contribute to and guide the team in
successfully delivering projects within specified timeframes and budgets.
Data Analysis - Able to participate in business discussions and assist a Architect with gathering
data requirements. Good analytical and problem-solving skills to help address data challenges.
Advanced SQL Skills - Proficiency in writing complex SQL queries for data extraction,
transformation, and analysis. Knowledge of SQL functions, joins, subqueries, and performance
tuning. Able to navigate source systems with minimal guidance to understand how data is related
and use like data profiling to gain a better understanding of the data.
Azure Data Factory - Experience in creating and managing data pipelines using Azure Data
Factory. Understanding of data integration, transformation, and workflow orchestration in Azure
environments.
Azure Databricks - Knowledge of data engineering workflows and best practices in
Databricks. Able to understand existing templates and patterns for development.
Python (Desired) - Programming skills in Python, particularly for data manipulation and analysis.
Version Control and Collaboration. Proficiency in using Git for version control and collaboration
in data projects. Ability to work effectively in a team environment, especially in agile or
collaborative settings.
Automation - Experience developing solutions to automate data validations tasks using
SQL/Python scripts.
Communication and Documentation - Clear and effective communication skills to articulate
findings and recommendations for other team members. Ability to document processes,
workflows, and data analysis results effectively.
Continuous Learning and Adaptability - Willingness to learn new tools, technologies, and
techniques as the field of data analytics evolves. Being adaptable to changing project
requirements and priorities
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