Analytics Engineer

Bosch India

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Bengaluru, Karnataka, India (Full-Time)3 weeks ago

LocationBengaluru, Karnataka, India (Full-Time)

QualificationBachelor’s degree in CS, Engineering, IT, or related technical streams

Job Description

As an Analytics Engineer at Bosch India, you will sit at the critical intersection of core data engineering and modern business intelligence. Your core objective centers on designing, deploying, and maintaining robust data solutions that seamlessly convert unstructured raw storage parameters into highly polished commercial metrics. You will design advanced SQL queries to extract, transform, and load (ETL) complex data arrays from disparate distributed nodes into central enterprise data lakes and warehouses.
You will collaborate cross-functionally with data scientists, business analysts, and product execution teams to map out optimized database schemas, dimensional data models, and automated processing pipelines. Trainees take ownership of creating interactive dashboards using tools like Tableau, Power BI, or Looker to clearly communicate structural operational trends, patterns, and anomalies to corporate stakeholders. Additionally, you will audit data quality frameworks, eliminate query processing latency, and compile rigorous technical documentation.

Draft advanced SQL queries to safely extract, clean, and load complex records into central data repositories.
Build, deploy, and monitor scalable ETL pipelines to guarantee continuous data consistency and timeliness.
Create and optimize multi-dimensional data models and relational database schemas for reporting efficiency.
Develop high-performance, interactive analytical dashboards using Tableau, Power BI, or Looker .
Apply statistical analysis methodologies to isolate baseline operational anomalies and commercial patterns.
Collaborate with cross-functional technical teams to accurately establish data pipeline requirement specifications.
Monitor query performance parameters, optimize data indexing execution paths, and tune database layouts.
Troubleshoot runtime data quality drops, build automated profiling filters, and safeguard structural data integrity.
Maintain clear technical specification playbooks and logging documentation for internal knowledge compliance.

Education: Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or closely related engineering fields.
Experience: Entry-level fresher with deep passion for data architecture. Practical internships or project experience is highly valued.
SQL Mastery: Strong advanced proficiency in SQL with a clear understanding of joins, subqueries, indexing, and query optimizations.
Visualization Skills: Hands-on experience or project exposure constructing dashboards within Tableau, Power BI , or Looker.
Programming: Foundational capability writing functional logic in at least one modern language, preferably Python , Java, or Scala.
Data Warehousing: Basic conceptual understanding of database management systems (DBMS), schema definitions, and ETL methodologies.
Preferred Plus Assets: Preliminary familiarity with Databricks , cloud data warehouses, Git version control, or Agile/Scrum templates.
Soft Skills: Strong communication skills to articulate technical complexities to business leaders, sharp attention to detail, and a collaborative team attitude.

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