Weekday AI

LeadDataEngineer

₹12–25L Pune, Maharashtra, India; Bangalore, Karnataka, India; Chennai, Tamil Nadu, India; Coimbatore, Tamil Nadu, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Data Engineer at Weekday AI. Skills: Data engineering, Scalable data platforms, Cloud data engineering. Design data pipelines. Develop data pipelines”

Industry & Context.

Problems you'll solve

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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