Job Overview
Location
India
Job Type
Full-time
Category
Data Engineer
Date Posted
March 24, 2026
Full Job Description
📋 Description
- • Design, implement, and maintain scalable data pipelines using Databricks and Apache Spark for enterprise data processing workloads
- • Collaborate with data scientists, analysts, and stakeholders to translate business requirements into robust ETL/ELT solutions
- • Optimize Spark job performance, manage cluster resources, and ensure data quality and reliability across production environments
- • Develop and maintain Delta Lake tables, implement data governance policies, and enforce security best practices
- • Troubleshoot complex data processing issues, provide technical mentorship to junior engineers, and contribute to continuous improvement of data platform capabilities
🎯 Requirements
- • 4+ years of hands-on experience with Databricks platform administration and Spark-based data engineering
- • Expertise in Scala, Python, or SQL for developing Spark applications and data transformations
- • Strong understanding of data modeling, warehousing concepts, and ETL/ELT pipeline design principles
🏖️ Benefits
- • Competitive salary package commensurate with senior data engineering expertise
- • Comprehensive health, dental, and vision insurance plans
- • 401(k) retirement plan with company matching contributions
- • Generous paid time off and holiday schedule
- • Professional development budget for conferences, certifications, and skill enhancement training
Skills & Technologies
About Weekday Technologies Inc.
Weekday Technologies operates a hiring platform that connects tech companies with pre-vetted software engineers through community referrals. The product crowdsources candidate recommendations from existing engineering teams, verifies skills, and offers employers a searchable talent pool for contract and full-time roles. Founded in 2021 and headquartered in San Francisco, the company focuses on reducing time-to-hire for startups and scale-ups by leveraging trusted peer networks rather than traditional recruiting pipelines.
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