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Cisco Bangalore Full-time Fresher Not Disclosed Posted 1 day ago Company :- Cisco Systems, Inc. Job Title :- Data Engineer (G6) Job ID :- 2019329 Category :- Product and Engineering Work Model :- Hybrid Employment Type :- Full Time Experience Level :- 2 4 Years Core Tech Stack :- PL/SQL, Teradata, Google BigQuery, Snowflake, Informatica, DBT, Python Location :- Bangalore, Karnataka, India Team & Business Unit Overview The Data Engineering team is at the heart of Ciscos digital transformation. As part of Product and Engineering, this high-performing group architects scalable, secure, and efficient data solutions that drive actionable insights across the enterprise. Engineers in this group modernize Ciscos data landscape at the intersection of established enterprise systems and cuttingedge cloud platforms, directly influencing how Cisco leverages data to power decisionmaking and support customers worldwide. Key Responsibilities Pipeline Development & Cloud Data Warehousing ETL/ELT Pipeline Design: Design, develop, and maintain scalable ETL/ELT pipelines using Informatica and dbt to support enterprise data requirements. Cloud & On-Premises Migration: Lead data migration and integration efforts across diverse environments, including Teradata, Google BigQuery, and Snowflake. Database Optimization: Develop and optimize complex PL/SQL stored procedures, views, and queries to ensure high-performance data processing and retrieval. Process Automation & Quality Assurance Python Automation: Implement automation strategies using Python to streamline data workflows, reduce manual intervention, and improve operational efficiency. Cross-Functional Alignment: Collaborate with data scientists, business analysts, and business stakeholders to ensure data integrity, quality, and alignment with evolving enterprise goals. Qualifications & Candidate Profile Minimum Qualifications Education: Bachelors degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). Experience: 2 to 4 years of professional experience in data engineering, database development, or a similar technical domain. Core Database Expertise: Advanced proficiency in PL/SQL and proven handson experience working with Teradata database systems. Cloud Data Platforms: Demonstrated handson experience with cloud data platforms, specifically Google BigQuery and Snowflake. ETL/ELT Tooling: Proven experience developing and managing data pipelines using Informatica and dbt. Preferred Qualifications Proficiency in Python scripting specifically for automation and complex data manipulation. Familiarity with CI/CD practices and version control systems (e.g., Git) to manage data codebases. Strong analytical and problem-solving skills with a dedicated focus on data quality and governance. Excellent communication and interpersonal skills in a team-oriented environment. Experience in mentoring team members or leading technical initiatives within a data engineering function. Extra Value Additions & Technical Insights Estimated Salary Expectations For a Grade 6 (G6) Data Engineer at Cisco in Bangalore with 24 years of experience, total annual compensation typically ranges between 14,00,000 to 22,00,000 INR per annum, including base salary, performance bonuses, and stock/RSU benefits. Architectural Migration Flow: On-Prem to Cloud Data Warehouse [ Legacy Data Sources (Teradata) ] [ Informatica ETL / ELT Workflows ] [ Cloud Warehouses (Google BigQuery / Snowflake) ] [ Transformation & Data Modeling (dbt + PL/SQL / Python) ] [ Data Science, Business Analytics & Enterprise Reporting ] Key Technical Topics for Interview Preparation dbt & Modern Data Stack: Understand dbt models, materializations (table, view, incremental), testing, snapshots, and Jinja templating. Snowflake & BigQuery Optimization: Review clustering keys, partitioning, micro-partitioning, query caching, and cost/performance tuning strategies. PL/SQL & Teradata Mechanics: Practice optimizing complex queries, understanding indexing (Primary / Secondary Indexes in Teradata), window functions, and stored procedures. Python Data Automation: Be ready to write Python code for automated API data extraction, log parsing, and scheduling via orchestration tools. Key Words for Resume Incorporate these target keywords into your resume to optimize for Applicant Tracking Systems (ATS) and tech recruiters: Technical & Tooling Keywords Data Engineer (G6) PL/SQL & Stored Procedures Teradata Database Architecture Snowflake & Google BigQuery dbt (Data Build Tool) & Informatica ETL/ELT Python Scripting & Data Automation Data Warehousing & Data Modeling Data Migration & Pipeline Optimization Methodological & Operational Keywords Hybrid Work (Bangalore) Product & Engineering CI/CD & Version Control (Git) Data Quality, Governance & Integrity Cross-Functional Collaboration Frequently Asked Questions (FAQs) 1. What is the Job ID for this position The
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.