Data Engineer

This role is for one of Weekday’s clients

• Min Experience: 3+ years
• Location: Hyderabad
• JobType: full-time

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.

Requirements

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.

Must-have skills

python, spark, Kafka

Good-to-have skills

sql, Automotive, Manfacturing