Azure Data Technical Specialist Job Washington area,District of Columbia USA,IT/Tech

District of Columbia, District of Columbia

Job Summary

SKILLS / EXPERIENCE REQUIRED

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-dept knowledge and hands‑on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc.
In‑depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure data factory and Azure data factory
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.
8 – 10 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.
Should have executed end‑to‑end projects focusing on Azure Synapse Delta lake.
Leveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.
Should have thorough understanding of Data‑lakes, Delta‑lakes, raw/enriched/curated layer concepts and ETL within Azure framework
Overall professional experience of 15+ years, with strong focus on enterprise data migration, system modernization, and integration initiatives.
Deep understanding of Oracle PL/SQL logic and database behavior, with demonstrated ability to analyze and reverse engineer complex legacy implementations.
Proven experience translating legacy database logic into cloud based data migration and integration solutions.
Strong hands on experience with Azure Data Factory, Azure Data Lake, and cloud based data processing workflows.
In‑dept knowledge and hands‑on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc.
Leveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates.
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.

Key Responsibilities

SKILLS / EXPERIENCE REQUIRED

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-dept knowledge and hands‑on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc.
In‑depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure…