Live opening · Posted 6 days ago
Lead Data engineer
YesMadam · Noida, Uttar Pradesh, India (On-site)
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At a glance
The key details from the original listing.
CompanyYesMadam
LocationNoida, Uttar Pradesh, India (On-site)
Work modeNo
Source
Linkedin
Listed6 days ago
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About the role
Description supplied by the original job listing.
Company Description
YesMadam is India’s most trusted and transparent home salon and tech-enabled beauty and wellness platform, delivering salon and spa services directly to customers’ homes. Since 2017, the company has grown to serve over 12 million customers through more than 10,000 beauty professionals across 55+ cities, supported by a unique per-minute pricing model and mono-dosage product approach. YesMadam combines a franchise-based, asset-light model with strong technology to expand profitably, including in tier-three cities, and aims to reach hundreds of millions of customers across 300+ cities. The company is now building YesMadam 2.0, an AI-driven personalized beauty and wellness experience, backed by a team including IIT graduates, MBAs, and seasoned professionals. Its culture values
Lead Data Engineer
Location: Noida Sector 63
Work model: Onsite/In office
Experience
7-10 years
Job Overview
We are looking for an experienced Lead Data Engineer to design, build, and manage scalable data platforms and pipelines. The ideal candidate should have strong hands-on expertise in Python, PySpark, SQL, and modern data engineering technologies, along with experience working in a product-based organization.
Required Skills
Strong hands-on experience with Python and PySpark.
Strong proficiency in SQL and database concepts.
Experience with Apache Spark and distributed data processing.
Strong understanding of ETL/ELT, data warehousing, data lakes, and data pipelines.
Experience with cloud platforms such as AWS / Azure / GCP.
Experience with technologies such as Kafka, Airflow, Databricks, Snowflake, or equivalent is preferred.
Good understanding of data architecture, scalability, and performance optimization.
Experience with Git, CI/CD, and Agile development practices.
Strong problem-solving, communication, and leadership skills.
Preferred Experience
Experience working in a product-based company or technology/product organization.
Experience building high-volume, scalable data platforms.
Experience leading technical initiatives and mentoring engineering teams.
Exposure to real-time/streaming data processing and cloud-native data solutions.
Work arrangement
No
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