Job Overview
Location
Remote
Job Type
Full-time
Category
Data Engineer
Date Posted
March 24, 2026
Full Job Description
đź“‹ Description
- • As a Senior ETL Engineer at Weekday 1, you will play a pivotal role in designing and leading the development of scalable, cloud-native data platforms that empower enterprises adopting AI at scale with proactive compliance and sustainable automation. Your work will directly support the integration of advanced AI technologies, including LLM/BERT-based workflows, by ensuring high-quality, governed, and performant data pipelines—making you a critical enabler of innovation for both enterprise clients and innovative startups like Amelia.ai.
- • You will architect and implement high-performance data engineering solutions using Databricks, Apache Airflow, Spark, Delta Lake, Python, and SQL, while collaborating closely with ML teams to design and optimize data workflows for AI-driven applications. Your responsibilities include building robust ETL/ELT pipelines, establishing data governance frameworks, enforcing best practices in data modeling and orchestration, and leveraging modern GenAI tools to enhance pipeline efficiency, data quality, and developer productivity—all within a fully remote, India-based work environment.
- • You will join a forward-thinking team at Weekday 1 that specializes in delivering cutting-edge data infrastructure solutions for AI-centric enterprises. The company is deeply connected to innovative AI startups and focuses on bridging the gap between raw data and intelligent automation, providing you with exposure to real-world AI use cases and emerging technologies in a collaborative, impact-driven culture.
- • In this role, you will deepen your expertise in modern data architecture, cloud-native ETL/ELT patterns, and AI-integrated data workflows, positioning yourself as a leader in the intersection of data engineering and generative AI. You will gain hands-on experience with Databricks Lakehouse, Airflow orchestration, Delta Lake transactions, and LLM-enhanced data processing—skills that are in high demand across industries adopting AI at scale.
🎯 Requirements
- • Minimum 7 years of hands-on experience in data engineering, with strong expertise in designing and implementing ETL/ELT pipelines using Databricks, Apache Airflow, Spark, and Delta Lake.
- • Proficiency in Python and SQL for developing scalable data transformation logic, including experience with complex SQL queries, UDFs, and data validation frameworks.
- • Proven experience working with cloud platforms (Azure, AWS, or GCP), particularly in deploying and managing Databricks workspaces, clusters, and jobs in enterprise environments.
- • Familiarity with LLMs/NLP and their integration into data workflows, including experience preparing, transforming, and validating data for BERT-based or similar AI models.
- • Strong understanding of data architecture principles, including dimensional modeling, data governance, metadata management, and pipeline orchestration best practices.
- • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field is preferred.
🏖️ Benefits
- • Fully remote work arrangement based anywhere in India, offering flexibility and work-life balance without geographic constraints.
- • Opportunity to work on cutting-edge AI-driven data projects involving LLM/BERT-based workflows and GenAI tooling, keeping your skills at the forefront of technological innovation.
- • Exposure to enterprise-scale data platforms and collaboration with innovative startups like Amelia.ai, enhancing your professional network and impact.
- • Competitive salary range of INR 1.5–3.0 million per annum (LPA), reflecting the seniority and strategic importance of the role.
- • Access to modern GenAI tools to augment developer efficiency, improve data quality, and streamline pipeline development—empowering you to work smarter and faster.
Skills & Technologies
Python
AWS
Azure
Apache Spark
Senior
Remote
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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