Data Architect - ETL/Hadoop

Responsibilities :

- 5+ years of experience in data engineering, data analysis, and/or data architecture

- Strong expertise in SQL and Python

- Databricks, Snowflake, Power BI (explicit client and ProFocus priority)

- Experience with distributed data systems such as Hadoop, Spark

- Experience with Cloud platforms such as Snowflake, BigQuery, Redshift

- ETL/ELT pipelines (Apache Spark, Airflow, dbt)

- APIs and data services for real-time and batch processing

- Familiar with data governance, security, and compliance frameworks

- Perform descriptive statistics, EDA, and inferential statistics

- Design and implement scalable, secure, high-performance data architectures (data lakes, warehouses, real-time pipelines)

- Understanding of APIs and how applications connect to AI engines (e.g., Truck API platform). Deep API development experience not required.

- Automotive industry experience in manufacturing, R&D, supply chain, connected vehicle, or aftersales

- Must be currently living in Bangalore (relocation candidates not considered due to turnover risk)

- Strong preference for automotive/bus domain experience, as projects are centered on core automotive topics

- Collect, process, and analyze large datasets to generate insights

- Perform statistical analyses (descriptive, EDA, inferential)

- Support data-driven decision-making in vehicle/product development