Data Analyst

Deloitte US-India Offices; Hyderabad; Hybrid; INR 1,200,000 - 2,500,000; Full time

Job summary

Deloitte US-India Offices is seeking a data engineer to design, build, and operate scalable ETL/ELT pipelines and data models. You will prepare Tableau-ready datasets and support BI reporting while integrating ERP, CRM, Manufacturing, IoT, and other enterprise data sources.

The role requires strong skills in SQL, Python, Spark, Airflow, and Redshift, plus AWS and data warehousing knowledge. You will collaborate with analytics, AI teams, and business stakeholders to drive data-driven decisions.

Qualifications

• 3–7 years of Data Engineering experience.
• Strong SQL, Python, Spark, Airflow, and Redshift skills.
• Experience with Kafka and MQTT.
• Knowledge of Data Warehousing and Dimensional Modeling.
• Experience in Tableau datasets and BI reporting.
• AWS/Cloud data platform experience.
• Exposure to Manufacturing, Automotive, EV, or IoT data.
• Experience integrating ERP, CRM, SCM, Finance, and Ops data.
• Understanding of data quality, governance, KPI reporting, and analytics.

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 operations.
• 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 stakeholders.
• Support Tableau reporting and self-service BI solutions.
• Participate in GitLab-based development, testing, deployment, and code reviews.

Job description

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.
• Strong 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.