Senior Azure Fabric Data Engineer at Weekday AI

, , India -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microsoft Fabric, Databricks, Spark, Delta Lake, Data Architecture, Etl, Elt, Python, Sql, Azure, Llm/Nlp, Azure Fabric, Azure OneLake, Azure Data Bricks, Pipeline Optimization, Data Migrations

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Min Experience: 7 years Location: Remote (India) JobType: full-time This is a full-time remote position for a Senior Azure Fabric / Databricks Engineer with expertise in Microsoft Fabric. The candidate has the flexibility to work from home from any location in India. We are seeking a Senior Azure Fabric Data Engineer who has experience in supporting ETL and ELT development, and who is skilled in utilizing Fabric data engineering capabilities to design and lead scalable, cloud-native data platforms. The ideal candidate should possess experience with Azure Fabric, Databricks, Azure OneLake, Spark, Delta Lake, data architecture, Azure Data Bricks, Azure Synapse, Data Bricks, PySpark, SQL, Delta Lake concepts, Power BI, the Azure Data Engineering tech stack, pipeline optimization, data migrations, Azure Data Factory (ADF), Python, SQL ETL/ELT strategy, and orchestration. You will be responsible for building high-performance pipelines using Python and SQL and collaborating with machine learning teams. This role will emphasize architecture, governance, and best practices, requiring hands-on experience in data engineering. In this position, you will design and construct high-performance data engineering solutions, create robust ETL/ELT pipelines, and lead projects focusing on data architecture, feature engineering, and AI-driven data workflows. Your work will extensively involve Databricks, Spark, Delta Lake, Airflow, and Python, while integrating modern GenAI tools to enhance developer productivity and data quality. Key Skills: Microsoft Fabric, Databricks, Spark, Delta Lake, Data Architecture, ETL/ELT, Python, SQL, Azure, LLMs/NLP, Azure Fabric, Azure OneLake, Azure Data Bricks, pipeline optimization, data migrations, Parquet file format, Azure Data Factory (ADF), PySpark, Python, SQL, Azure Synapse. Experience: 7+ years | Preferred degree in Computer Science/Information Technology Skills Microsoft Fabric ETL ELT Data Engineering Data Pipelines Azure Data Lake Data Management Data Architecture Azure Data Factory Azure Data Fabric Azure OneLake Azure Databricks PySpark ADF

Responsibilities

The role involves designing and constructing high-performance data engineering solutions, creating robust ETL/ELT pipelines, and leading projects focused on data architecture and feature engineering. Responsibilities include building high-performance pipelines using Python and SQL while integrating modern GenAI tools.