Azure Data Engineer
Mindlance
Role: Azure Data Engineer
Location: Washington, DC
Duration: 6+ Months – Long Term
Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon.
Job Details:
- 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.
EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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