▷ [06 / 10 / 2025] Senior Azure Data Engineer

Job Title : Senior Azure Data Engineer

Job Location : Remote

Skills Required : Azure Synapse, Azure Data Factory, Azure Databricks, and ADLS Gen2, PySpark, SQL,Microsoft Fabrics.

Shift Timings : General Shift

Experience Range : 12–15 Years

Job Summary :

We are seeking a highly skilled and experienced Senior Azure Data Engineer to join our team. The ideal candidate will have deep expertise in Microsoft Azure data services, cloud-based data engineering solutions and modern reporting tools. This role involves leading technical projects, designing scalable data architectures, and delivering actionable insights through BI tools using modern data Lakehouse / warehouse architecture. Ideal candidate should have strong experience with data modelling , ETL / ELT pipeline, and performance tuning. Need to work with Data Architect , Business Analysts and Data Scientists to deliver high quality , reliable and secure data products that enabled advanced analytics.

Technical Skills Required :

Cloud & Data Platforms : Microsoft Azure (Microsoft Fabric, ADF, Synapse, Databricks, ADLS Gen2, Azure SQL, Azure DevOps, Azure Event Hub)

BI Tools : Power BI, Power Automate, Power Apps

Programming Languages : PySpark,Scala,C#, SQL

Databases : SQL Server, Oracle, Snowflake

Version Control : GitHub, Azure DevOps

Other Tools : MS Office Suite, Lucidchart, Draw.io

Certifications (Preferred) :

Microsoft Certified : Azure Fundamentals (AZ-900)

Microsoft Certified : Power Platform Fundamentals (PL-900)

Microsoft Certified : Azure AI Fundamentals (AI-900)

Microsoft Certified : Azure Data Fundamentals (DP-900)

Microsoft Certified : Azure Fabric Associate (DP-600)

Soft Skills :

Strong communication and interpersonal skills

Detail-oriented with the ability to manage multiple projects

Proven leadership and mentoring capabilities

Experience in client-facing roles and stakeholder management

Please share your resume at ria.chaturvedi@programmers.ai with current CTC, expected CTC, and notice period.