Azure Data Engineer
Mindlance
Mount Rainier, MD, United States
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Microsoft Azure
Big Data
Computer Programming
Databases
Data Architecture
Data Governance
Extract Transform Load (ETL)
Relational Databases
Python (Programming Language)
Meta-Data Management
Microsoft SQL Server
+18 more
SQL Azure
Oracle Databases
Salesforce.Com
SQL Databases
SQL Server Integration Services
Data Streaming
Web Applications
Azure Service Bus
Microsoft Power Automate
Azure Data Factory
Apache Spark
Data Lakes
Google Cloud Functions
Real Time Data
Data Management
Data Pipelines
Serverless Computing
Databricks
Requirements
- Overall professional experience of 15+ years, with strong focus on enterprise data migration, system modernization, and integration initiatives.
- 8 - 10 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.
- Expertise on Azure platforms including Azure Databricks, ADLS, and its various components.
- In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure SQL Database, Azure Functions, Logic apps, Spark and Python programming etc.
- Expertise on Azure platforms including Azure Databricks and its various components, including Delta Lake.
- Strong understanding of data architecture and data management principles.
- In-depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure data factory and Azure datafactory.
- Hands on experience on Function apps , Event Hubs, Web apps, API M.
- Good have to experience on Migration to Salesforce
- Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.
- Proficiency in programming languages such as Python, SQL, Spark notebooks and Scala.
- Must have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle 10g.
- Experience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.
- Experience with real-time / near-real-time Data warehousing concepts and Design approaches.
- Deep understanding of Oracle PL/SQL logic and database behavior, with demonstrated ability to analyze and reverse?engineer complex legacy implementations.
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