Supply Chain Data Engineer

Jobtailor; Bengaluru; On-site; INR 900,000 - 1,350,000; Full time

Job summary

Jobtailor is seeking a data engineer in Bengaluru to build and maintain scalable data pipelines and architectures. You will collect and analyze data for ML models, ensure data quality, and collaborate with multiple teams on reporting and improvements.

The role involves leading a team, driving data solutions, and mentoring junior engineers to deliver high-quality results across complex datasets.

Qualifications

• Degree in CS/IT/Stats/Math or equivalent experience.
• Typically 4–7 years in data analytics, data engineering, or related field.
• Programming language certification (SQL, Python) and experience with AI solutions.

Responsibilities

• Collect accurate and relevant data for ML models and analyze data from primary/secondary sources.
• Design and maintain secure, performant data architectures and pipelines.
• Analyze system design to determine coding and integration activities.
• Write and execute testing plans; debug and implement data system solutions.
• Lead a project team of data engineers to deliver reliable solutions.
• Collaborate with project teams to track progress and resolve issues.
• Identify data inaccuracies and develop automated quality improvements.
• Research data problems and interpret trends in complex datasets.
• Work cross-functionally to define and deliver data reports.
• Represent the data engineering team in larger development projects and mentor juniors.

Skills

SQL

Python

AI solutions

Education

Bachelor's degree in Computer Science / IT / Statistics / Math or related field

Job description

Responsibilities

• This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database.
• Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.
• Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution.
• Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture.
• Leads a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Analyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data.
• Identifies problematic areas and conducts research to determine the best course of action to correct the data; identifies, analyzes and interprets trends and patterns in complex datasets.
• Works cross‑functionally with different departments to assess, define, and develop report deliverables.
• Represents the software data engineering team for all phases of larger and more‑complex development projects.
• Provides guidance and mentoring to less experienced staff members.

Requirements

• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 4-7 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field or an advanced degree with 3-5 years of work experience.
• Programming Language/s Certification (SQL, Python, or similar) and experience in implementing AI solutions to solve complex data quality problems.