Responsibilities & Key Deliverables

Pipeline Development:

Assist in building, maintaining, and automating robust data ingestion pipelines from diverse automotive data sources.

• GCP Data Ecosystem:

Work directly with core Google Cloud data tools including BigQuery, Cloud Dataflow, Cloud Dataproc, and Cloud Storage.

• Analytics Enablement:

Clean, transform, and model complex datasets to optimize them for data science models, business intelligence dashboards, and analytics use cases.

• Collaboration:

Partner with data scientists, business analysts, and digital product teams to understand data requirements and deliver production-ready datasets.

• Data Quality & Governance:
Implement validation checks to ensure data integrity, accuracy, security, and compliance across all delivery layers.

Programming Foundations:

Strong proficiency in Python, Java, or Scala, with a solid understanding of object-oriented programming concepts.

• SQL & Databases:

Excellent command over SQL syntax, relational database design, query optimization, and data warehousing concepts.





• Cloud Exposure:

Fundamental understanding of cloud computing principles. Hands-on projects or academic exposure to Google Cloud Platform (GCP) is highly preferred.

• Analytical Mindset:

Familiarity with big data concepts, ETL/ELT processes, or data visualization tools (e.g., Looker, Tableau) is a major plus.

Experience

0-1 years

Industry Preferred

Automobile

Qualifications

Bachelor's degree (B.E./B.Tech) in Computer Science, Information Technology, or a closely related engineering discipline.

General Requirements

Problem Solving:

Solid analytical and logical reasoning skills to debug pipelines and resolve data anomalies.

• Agile Adaptation:

Eagerness to learn new cloud methodologies, frameworks, and tools in a fast-paced environment.

• Communication

Clear verbal and written communication skills to articulate technical complexities to cross-functional stakeholders.

Our commitment to Div

📌 Assistant Manager (Mumbai)
🏢 Mahindra & Mahindra
📍 Mumbai