Data Engineer

Overview

Data Engineer role to design, develop and maintain data solutions for data generation, collection, and processing, including data pipelines, data quality and ETL processes, and to act as SME leading a team on complex PLX-based dashboards, workflows, data processes and automation.

What you'll do

• 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.

What you'll need

• Minimum 7.5 years of experience is required.
• Must have skills: Data Engineering.
• Proficiency in Oracle Procedural Language Extensions to SQL (PLSQL).
• 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.
• Strong documentation, communication, and technical leadership skills.
• Educational Qualification: 15 years full time education.
• The candidate should have minimum 5 years of experience in analytics solution development, SQL development, BI engineering, reporting automation, or related roles.

Nice to have

• Exposure to BigQuery, Looker, Vertex, or GCP tools.