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Lead Data Engineer

Weekday AI
Full-time
On-site
Mumbai, Maharashtra, India
₹40 - ₹45 INR yearly
Description

This role is for one of the Weekday's clients

Salary range: Rs 4000000 - Rs 4500000 (ie INR 40-45 LPA)

Min Experience: 7 years

Location: Mumbai, India

JobType: full-time



Requirements

Requirements:

  • Minimum 7 years of experience in data engineering
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Demonstrated experience leading data engineering teams with full technical ownership
  • Strong command over PostgreSQL and advanced SQL techniques
  • Proficiency in Python for data-related workflows
  • Solid understanding of data architecture, ELT pipeline design, and data engineering methodologies
  • Familiarity with agile development practices and team collaboration
  • Preferred experience with:
    • dbt (data build tool)
    • AWS data pipeline services (e.g., Glue, Redshift, S3)
    • Data modeling and statistical analysis techniques

Key Responsibilities:

  • Lead, mentor, and support a team of data engineers in delivering scalable and high-quality data solutions
  • Oversee the planning and execution of data initiatives aligned with business and product strategies
  • Architect, build, and maintain robust ELT pipelines to process and transform large datasets
  • Ensure data accuracy, integrity, and availability across various platforms and systems
  • Work closely with product managers, analysts, and other engineering teams to support data-driven decision making
  • Design and manage scalable data models tailored for analytics and machine learning applications
  • Conduct exploratory data analysis to uncover insights and inform modeling strategies
  • Identify inefficiencies in data processes and lead automation or optimization efforts
  • Stay informed about emerging technologies and best practices in data engineering and bring innovative solutions to the team

Skills:

PostgreSQL · SQL · Python · ELT Pipelines · Data Architecture · dbt · AWS (Glue, Redshift, S3) · Agile · Data Modeling · Team Leadership