Role & responsibilities

- Develop and maintain ETL/ELT data pipelines.

- Build and optimize Redshift data models and analytical datasets.

- Create Tableau-ready datasets and reporting layers.

- Integrate data from ERP, CRM, Manufacturing, IoT, and operational systems.

- Design dimensional models and data marts.

- Ensure data quality, validation, reconciliation, and monitoring.

- Optimize query performance and data processing.

- Collaborate with Analytics, AI teams, and business stakeholders.

- Support Tableau reporting and self-service BI solutions.

- Participate in GitLab-based development, testing, deployment, and code reviews.

Preferred candidate profile

- 3-7 years of Data Engineering experience.

- Robust hands-on experience in SQL, Python,



Spark, Airflow, and Redshift.

- Experience with Kafka and MQTT.

- Strong knowledge of Data Warehousing and Dimensional Modeling.

- Experience developing Tableau datasets and supporting BI reporting.

- AWS/Cloud data platform experience.

- Exposure to Manufacturing, Automotive, EV, Connected Vehicle, or IoT data.

- Experience integrating enterprise systems such as ERP, CRM, Supply Chain, Finance, and Operations.

- Good understanding of data quality, governance, KPI reporting, and analytics.

📌 Data Analyst (Hyderabad)
🏢 Deloitte US-India Offices
📍 Hyderabad