10 Aug
|
Weekday AI
|
Mumbai
This role is for one of the Weekday's clients
Salary range: Rs 500000 - Rs 2000000 (ie INR 5 - 20 LPA)
Min Experience: 5+ years
Location: Mumbai, Maharashtra, India
JobType: full-time
We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines and enterprise-grade data integration solutions. The ideal candidate will have robust expertise in Microsoft Azure data services, particularly Azure Databricks, Azure Data Factory (ADF), and SQL Server Integration Services (SSIS). You will work closely with data architects, analysts, and business stakeholders to build reliable data platforms that support reporting, analytics, and business intelligence initiatives.
This role requires hands-on experience in data transformation, ETL/ELT development, cloud-based data engineering, and performance optimization. The ideal candidate should be passionate about building high-quality, scalable, and efficient data solutions while ensuring data accuracy, security, and governance.
Key Responsibilities
Design, develop,
and maintain robust ETL/ELT pipelines for ingesting, transforming, and loading data from multiple sources.
Build and optimize scalable data processing solutions using Azure Databricks and Apache Spark.
Develop and manage workflows using Azure Data Factory for orchestrating enterprise data movement and transformation.
Create, maintain, and enhance SQL Server Integration Services (SSIS) packages for on-premises and hybrid data integration requirements.
Develop optimized SQL queries, stored procedures, views, and database objects to support reporting and analytics.
Collaborate with business teams to understand data requirements and translate them into technical solutions.
Ensure data quality through validation, cleansing, reconciliation, and monitoring processes.
Optimize pipeline performance, troubleshoot bottlenecks, and implement best practices for scalability and reliability.
Integrate structured and semi-structured data from multi
📌 Data Engineer (Mumbai)
🏢 Weekday AI
📍 Mumbai