# Data Engineer

> Weekday AI · Mumbai, India · Full-time · Posted 2026-08-06

**Salary:** INR 500,000–2,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**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 strong 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.

## Requirements

### 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 multiple enterprise systems.
-   Monitor production data pipelines, resolve failures, and implement proactive monitoring mechanisms.
-   Participate in code reviews, documentation, and knowledge-sharing initiatives.
-   Follow data governance, security, compliance, and best practices throughout the data lifecycle.
-   Support migration of legacy ETL processes to modern Azure-based data platforms where applicable.

### Must-Have Skills

-   5–8 years of experience in Data Engineering or ETL Development.
-   Strong hands-on expertise in **Azure Databricks**.
-   Extensive experience with **Azure Data Factory (ADF)**.
-   Proficiency in **SQL Server Integration Services (SSIS)**.
-   Strong SQL programming skills with experience in query optimization and performance tuning.
-   Experience developing scalable ETL/ELT pipelines.
-   Good understanding of Azure Data Lake Storage and cloud-based data architectures.
-   Experience with Apache Spark using PySpark or Spark SQL.
-   Strong knowledge of relational databases and data warehouse concepts.
-   Familiarity with data modeling, data transformation, and data integration techniques.
-   Experience with source control systems such as Git.
-   Strong analytical, troubleshooting, and problem-solving skills.

### Good-to-Have Skills

-   Experience with Azure Synapse Analytics.
-   Knowledge of Azure SQL Database or SQL Server administration.
-   Familiarity with Delta Lake architecture.
-   Experience with CI/CD pipelines for Azure data solutions.
-   Exposure to Power BI or other business intelligence tools.
-   Understanding of DevOps practices for data engineering.
-   Experience working with REST APIs and data ingestion from external systems.
-   Knowledge of data governance, security, and compliance standards.
-   Familiarity with Agile/Scrum development methodologies.

### Preferred Qualifications

-   Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
-   Microsoft Azure Data Engineer certification is an added advantage.
-   Excellent communication and stakeholder management skills.
-   Ability to work independently while collaborating effectively within cross-functional teams.
-   Strong commitment to delivering high-quality, scalable, and maintainable data engineering solutions.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/01DB2E7FC6/apply)

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