Sr. ADF Data Engineer (ADF,SQL,ETL)

Overview

Vacancy with a leading End to End IT Services firm specializing in managing everything from Concept to Design to Development to Deployment and IT staffing solutions, Business is totally dependent on the modern and innovative technologies, and the Company provides robust IT talents that connect human resource with technology needs.The Company has been operational since 2022 and is Head Quartered in Mumbai.

Vacancy :

Job Location: Pune ( Hybrid)

• Sr. ADF Data Engineer with strong expertise in Azure Data Factory (ADF), Data Warehousing, and SQL.
• The ideal candidate will bring robust ETL experience, a deep understanding of data warehousing concepts, and a knack for database performance optimization.
• A proactive, problem-solving mindset and excellent client communication skills are critical to succeed in this role.
• Required Technical Skill Set:ADF (Azure Data Factory): Strong hands-on experience with pipelines, data flows, and integrations
• SQL: Expertise in writing, optimizing queries, stored procedures, and packages
• ETL: Comprehensive experience in Extract, Transform, Load processes across multiple sources (SQL Server, Synapse, etc.)
• Must-Have Skills:Strong hands-on experience in ADF and ETL for integrating multiple data sources
• Proven expertise in SQL for troubleshooting and query optimization
• Sound knowledge of Data Warehousing architecture and methodologies
• Ability to script for troubleshooting failures and making proactive recommendations
• Expertise in implementing best practices for support frameworks and cloud platforms
• Strong experience in client handling, managing escalations, and stakeholder communication
• Practical experience with ticketing tools like Azure DevOps (ADO), JIRA
• Good-to-Have Skills:Experience with SSIS for additional ETL capabilitiesHands-on expertise in Azure tools such as Synapse Analytics, Databricks, and Azure Storage Managemen

Job Type: Full-time

Pay: Up to ₹1,150,639.31 per year

Benefits:

• Cell phone reimbursement
• Flexible schedule
• Health insurance
• Internet reimbursement
• Life insurance
• Paid sick time
• Paid time off
• Provident Fund

Schedule:

• Day shift

Supplemental Pay:

• Yearly bonus

Application Question(s):

• Are you willing to join within 15 days Notice Period?
• Do you have minimum 5 years of Experience in Azure Data Factory, SQL, ETL, Data Warehousing?

Work Location: In person