Data Engineer

Company: PeopleImpact

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Enterprise

Company Type: Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Information Technology and Services

Salary Range: ₹ 12-20 Lacs PA

Job Description

Mid-Level Data Engineer (3-7 Years)

Job Summary

We are seeking a Data Engineer to develop and maintain data pipelines, analytical datasets, and enterprise reporting models that support analytics, AI initiatives, manufacturing operations, connected vehicle platforms, and executive decision-making. You will work closely with Analytics and AI teams to deliver high-quality data products that support Tableau dashboards and business intelligence solutions.

Key Responsibilities

• Develop and maintain ETL/ELT pipelines using Spark, Airflow, Kafka, MQTT, and cloud-native technologies.
• Build and optimize Redshift data models, analytical datasets, and reporting structures.
• Create and maintain Tableau-consumable datasets and certified reporting layers.
• Integrate manufacturing, charging, IoT, ERP, CRM, and operational data sources.
• Support data quality, validation, reconciliation, and monitoring processes.
• Develop business-focused dimensional models and analytical data marts.
• Collaborate with Analytics Engineers and business stakeholders to improve reporting accuracy and performance.
• Support Tableau data source development and reporting initiatives.
• Optimize Redshift query performance and data processing efficiency.
• Participate in GitLab-based development, testing, deployment, and code review activities.
  
  

Functional Knowledge

• Understanding of manufacturing operations, production analytics, quality reporting, and operational performance measurement.
• Familiarity with connected vehicle platforms, telemetry data, EV charging analytics, battery performance metrics, and customer usage reporting.
• Knowledge of enterprise reporting requirements across Finance, Supply Chain, Procurement, Sales, Service, Marketing, and HR.
• Understanding of data warehousing principles, dimensional modeling, analytical data marts, and reporting architectures.
• Experience supporting Tableau dashboards and self-service business intelligence solutions.
• Familiarity with KPI development, business metrics, scorecards, and analytical reporting standards.
• Understanding of data quality, reconciliation processes, governance requirements, and enterprise reporting controls.
• Ability to collaborate with business users and translate reporting requirements into scalable data solutions.
  
  

Qualifications

• Bachelor's degree in Computer Science, Engineering, Analytics, or related field.
• 3-7 years of experience in Data Engineering.
• Strong SQL and Python programming skills.
• Experience with Redshift, Spark, Airflow, Kafka, MQTT, and cloud-based data architectures.
• Experience supporting Tableau reporting environments and business intelligence solutions.
• Understanding of dimensional modeling, data warehousing, and enterprise reporting architectures.
• Manufacturing, Automotive, EV, or IoT experience preferred.