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Mumbai · Hybrid · ₹5-20 LPA · 1-3 Yrs · Oct 8
6 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
This role is for one of the Weekday's clients Salary range: Rs 500000 - Rs hidden_mobile (ie INR 5 - 20 LPA)
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.
- Participate in code reviews, documentation, and knowledge-sharing initiatives.
- Support migration of legacy ETL processes to modern Azure-based data platforms where applicable.
Qualifications
- 58 years of
- experience in Data Engineering or ETL Development.Strong hands-on expertise in Azure Databricks .
- 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
- Knowledge of Azure SQL Database or SQL Server administration.
- Familiarity with Delta Lake architecture.
- Exposure to Power BI or other business intelligence tools.
- Understanding of DevOps practices for data engineering.
- Knowledge of data governance, security, and compliance standards.
- Familiarity with Agile/Scrum development methodologies.
Nice to have
- 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. .
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Data Engineer AI, Hybrid at Weekday AI?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Weekday AI may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer AI, Hybrid role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer AI, Hybrid remote or on-site in Mumbai, Maharashtra?
- This listing is marked hybrid with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer AI, Hybrid role at Weekday AI?
- This is a mid-level Data Engineer AI, Hybrid role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.