Azure Data Engineer

Posted 17 Days Ago
Be an Early Applicant
Indore, Madhya Pradesh
In-Office
5-5 Annually
Senior level
Artificial Intelligence • Cloud • Database • Analytics
The Role
Design and implement data pipelines for Azure cloud migration, optimize data processing, and lead data modeling and project delivery.
Summary Generated by Built In
Job Title: Azure Data Engineer
Location: Indore, MP
Experience: 5+ Years
Responsibilities:
  • Design and implement end-to-end data pipelines for on-prem to Azure cloud migration
  • Build metadata-driven ingestion and transformation pipelines using Azure Data Factory
  • Develop and optimize data processing using Azure Databricks, Delta Lake, Spark SQL, PySpark, and Scala
  • Create and optimize Azure Synapse stored procedures and analytical models for reporting
  • Enable data consumption for Power BI dashboards
  • Manage CI/CD deployments using Azure DevOps
  • Lead requirement gathering, data modeling, sprint planning, and timely project delivery
Skills:
Azure Data Factory, Azure Databricks, ADLS, Azure Synapse, Spark SQL, PySpark, Scala, SQL, Data Warehousing, Azure DevOps
 

Top Skills

Adls
Azure Data Factory
Azure Databricks
Azure Devops
Azure Synapse
Pyspark
Scala
Spark Sql
SQL
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The Company
Cupertino, California
9 Employees
Year Founded: 2022

What We Do

Driving Innovation through Advanced Data and AI Services.

We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.

To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:

01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases

02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud

03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment

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