Data Engineer
Weekday AI· Weekday's Client via platform
About this role
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.
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.
Frequently Asked Questions
What is the salary for the Data Engineer role at Weekday AI?
The listed salary for this Data Engineer position at Weekday AI is INR 500K–2000K. This is an Full time role.
Where is the Data Engineer position at Weekday AI located?
This Data Engineer role at Weekday AI is based in Mumbai, Maharashtra, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Engineer role at Weekday AI full-time or part-time?
This is listed as a Full time position. It is posted as a Data Engineer role in the Weekday's Client via platform department at Weekday AI.
Which team or department does the Data Engineer at Weekday AI belong to?
This Data Engineer position is part of the Weekday's Client via platform department at Weekday AI. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Engineer position at Weekday AI?
Click the "Apply Now" button on this page. You will be redirected to Weekday AI's official application portal hosted on workable where you can submit your application directly.
When was the Data Engineer job at Weekday AI posted?
This Data Engineer position at Weekday AI was posted on Aug 6, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Engineer
Weekday AI · 💰 INR 500K–2000K
You'll be redirected to Weekday AI's official application page on workable.