Azure Data Engineer

ESP Engineered; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

ESP Engineered in Pune District, Maharashtra, is looking for a Full-time data engineer with 8+ years of experience to design and develop solutions on the Azure Cloud Platform. The ideal candidate will have strong expertise in Azure SQL Data Warehouse, Azure Data Factory, and t-SQL. Responsibilities include implementing ETL processes, creating data pipelines, and supporting data governance and architecture. Candidates with experience in Salesforce and a background in programming languages such as SQL and Python are preferred.

Qualifications

• 8+ years experience in Azure Cloud solutions, specifically data warehousing.
• Hands-on experience with Azure SQL Data Warehouse and Data Factory.
• Strong t-SQL skills and proven ability to create data pipelines.

Responsibilities

• Design and develop data solutions on the Azure Cloud Platform.
• Implement ETL processes and data pipelines.
• Support data architecture and governance functions.

Skills

Azure SQL Data Warehouse

Azure Data Factory

t-SQL

Data Engineering

Python

ETL tools

Salesforce

R

Job description

Job Type: Full-time

Experience: 8+ Years

Qualifications

• Design and develop new solutions on the Azure Cloud Platform specifically for Azure SQL Data Warehouse/DB, Azure Data Factory, Analysis Services, Azure Data Lake Store / Blob
• Hands‑on experience working in complex data warehouse implementations using Azure SQL Data warehouse, Azure Data Factory and Azure SQL Database.
• Strong t‑SQL skills with experience in Azure SQL DW
• Experience in creating data pipelines using Azure Data Factory, Polybase and U-SQL.
• Experience in developing data pipelines to transform, aggregate and or process data using Azure Databricks platform
• Hands‑on experience in implementing Azure Cloud data warehouses, Azure and No‑SQL databases and hybrid data ingestion scenarios
• Hands on Experience in Salesforce
• Good to have exposure to MSD
• Evaluating, developing, maintaining and testing data engineering solutions for advanced analytics projects.
• Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources
• Distill business requirements and translate into technical solutions for data systems including data warehouses, cubes, marts, lakes, ETL integrations, BI tools or other components.
• Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.
• Optimize data integration platform to provide optimal performance under increasing data volumes
• Support the data architecture and data governance function to continually expand their capabilities
• Support the automation of requirements of database deployments using Azure DevOp

Technical Skillset

fluent in programming languages such as SQL, Python, and R, be adept at finding warehousing solutions, and using ETL (Extract, Transfer, Load) tools