Weekday AI
LeadDataEngineer
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“Lead Data Engineer at Weekday AI. Skills: Data engineering, Scalable data platforms, Cloud data engineering. Design data pipelines. Develop data pipelines”
Industry & Context.
Problem-solving abilities
What They're Looking For.
Must Have
7+ years experience, Data Engineering experience, Java proficiency, SQL skills
Nice to Have
Familiarity with BigQuery, Familiarity with Dataflow, Familiarity with cloud-based data processing technologies, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Design data pipelines
Develop data pipelines
Maintain data pipelines
Process large-scale datasets
Ensure data system availability
Ensure data system reliability
Ensure data system performance
Build cloud-based data solutions
Develop data ingestion workflows
Develop data transformation workflows
Develop data validation workflows
Develop data orchestration workflows
Create ETL/ELT pipelines
Ensure data consistency
Ensure data accessibility
Develop backend services
Develop data processing applications
Implement data governance
Implement data monitoring
Implement performance optimization
Collaborate with teams
Understand data requirements
Deliver scalable solutions
Troubleshoot data pipeline issues
Identify improvement opportunities
Ensure data infrastructure availability
Ensure data infrastructure security
Ensure data infrastructure scalability
Participate in architecture discussions
Contribute to data platform modernization
Support business intelligence teams
Support advanced analytics teams
Support machine learning teams
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Analytics teams; Engineering teams
Communication Scope
Communicate technical concepts
Full Job Description
**This role is for one of the Weekday's clients** **Salary range: Rs 1200000 - Rs 2500000 (ie INR 12-25 LPA)** Experience: 7+ yrs Location: Pune, Bangalore, Chennai, Coimbatore Job Type: full-time We are looking for a skilled Data Engineer who is passionate about building scalable data platforms and enabling data-driven decision-making. This role involves designing, developing, and maintaining robust data pipelines, processing large-scale datasets, and ensuring the availability, reliability, and performance of data systems. The ideal candidate will have strong expertise in cloud-based data engineering, backend development, and modern data processing technologies. You will work closely with cross-functional teams to create efficient data solutions that support analytics, reporting, machine learning, and business intelligence initiatives. **Requirements** ### Key Responsibilities * Design, develop, and maintain scalable data pipelines for processing structured and unstructured data. * Build and optimize cloud-based data solutions using modern data engineering best practices. * Develop and manage data ingestion, transformation, validation, and orchestration workflows. * Create reliable ETL/ELT pipelines to support analytics, reporting, and operational use cases. * Work with large datasets to ensure data quality, consistency, and accessibility across systems. * Develop and optimize backend services and data processing applications using Java. * Implement data governance, monitoring, and performance optimization practices. * Collaborate with product, analytics, and engineering teams to understand data requirements and deliver scalable solutions. * Troubleshoot data pipeline issues and proactively identify opportunities for improvement. * Ensure high availability, security, and scalability of data infrastructure. * Participate in architecture discussions and contribute to data platform modernization initiatives. * Support business intelligence, advanced analytics, and mac
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