Data Engineer

Data Engineer

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Data Engineering

NA

Minimum

year(s) of experience is required

15 years full time education

Role Overview

The Lead or Senior Developer will own the technical design, development quality, and delivery of complex analytics solutions within the PLX-first ecosystem. This role is responsible for designing scalable workflows, reviewing code and SQL logic, guiding developers, resolving technical issues, and ensuring that solutions are robust, maintainable, and aligned with business analytics needs.

Key Responsibilities

Lead design and development of complex PLX-based dashboards, workflows, data processes, analytical tools, and automation solutions.

Translate functional and analytical requirements into scalable technical designs and implementation plans.

Develop advanced SQL logic for large datasets, including transformation, validation, optimization, metric calculation, and exception handling.

Build or guide Python-based automation, data validation, analytical processing, and repeatable workflows in Colab.

Review code, SQL, dashboards, workflows, documentation, and test outputs produced by developers and entry-level developers.

Provide technical direction on solution design, data model usage, workflow structure, performance, maintainability, and troubleshooting.

Collaborate with techno-functional analysts, managers, consultants, and stakeholders to clarify requirements and resolve ambiguity.

Identify reusable components, development standards, and opportunities to improve delivery efficiency.

Support production issue resolution, root-cause analysis, defect fixes, and enhancement prioritization.

Mentor junior developers and help build technical capability across the team.

Required Skills and Capabilities

Advanced SQL skills, including complex joins, window functions, performance-aware query design, data transformation, and validation logic.

Strong experience building analytics, BI, dashboard, workflow, or automation solutions on large datasets.

Strong Python capability for analysis, automation, validation, and reusable processing logic.

Ability to work within or quickly adapt to PLX and Google internal analytics platforms.

Practical understanding of data modeling, reporting architecture, ETL/ELT concepts, workflows, and BI delivery.

Good understanding of business analytics and ability to align technical design with stakeholder outcomes.

Ability to guide developers, review outputs, enforce quality, and troubleshoot complex issues.

Exposure to BigQuery, Looker, Vertex, or GCP tools is useful but secondary to PLX-first delivery capability.

Strong documentation, communication, and technical leadership skills.

Indicative Experience

Typically 7–9 years of experience in analytics solution development, SQL development, BI engineering, reporting automation, or related roles.

Additional Information:

• The candidate should have minimum 5 years of experience in analytics solution development, SQL development, BI engineering, reporting automation, or related roles.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.

15 years full time education