Looking to begin your career in Data Engineering with a fast-growing technology company? Here’s an excellent opportunity for fresh graduates who are passionate about Python, Data Engineering, ETL Pipelines, Databases, and Business Intelligence.
Kipplo is actively hiring Freshers for the Data Engineer role at its Bangalore office. If you’re eager to work with modern data technologies like Python, Pandas, DuckDB, PostgreSQL, Airbyte, Selenium, and ETL workflows while collaborating with experienced professionals, this could be your ideal first step into the world of Data Engineering.
This opportunity offers hands-on exposure to real-world data pipelines, business intelligence projects, automation, and large-scale data processing. Candidates who enjoy solving analytical problems and working with structured as well as unstructured data will find this role highly rewarding.
๐ Position Details
๐ข Position: Data Engineer (Fresher)
๐ Job ID: Not Mentioned
๐ Location: HSR Layout, Sector 6, Bangalore
๐ผ Experience Required: Freshers Only
๐ข Work Model: Work From Office (5 Days)
โฐ Shift: 5:00 PM โ 2:00 AM
๐ฐ Salary: Best in the Industry
๐งช Domain: Data Engineering & Business Intelligence
๐ Position Overview
Kipplo is searching for enthusiastic graduates who are passionate about data, automation, and technology. As a Data Engineer, you’ll work with modern data engineering tools to collect, process, validate, transform, and analyze business-critical information. You’ll gain exposure to end-to-end ETL processes, database management, web data collection, and automation while contributing to projects that directly impact business decisions.
Unlike traditional fresher roles that focus only on support activities, this position allows you to work on live production datasets, develop scalable data pipelines, automate repetitive processes, and collaborate with cross-functional teams including Product, Sales, and Business Intelligence. It’s an ideal opportunity for candidates who want to build strong technical foundations in Python, SQL, ETL, and Cloud-ready data engineering technologies.
๐ข About the Company
Kipplo is a rapidly growing technology-driven organization focused on delivering high-quality data, market intelligence, and business solutions to clients across multiple industries. The company leverages advanced data engineering practices, automation tools, and modern analytics platforms to help businesses make informed decisions.
With a strong emphasis on innovation, collaboration, and continuous learning, Kipplo provides fresh graduates with the opportunity to work on real business problems while gaining practical exposure to enterprise-grade technologies. Employees work in a fast-paced environment that encourages creativity, ownership, and technical excellence.
๐ ๏ธ Skills Required
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Python Programming
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Pandas Library
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ETL / ELT Pipelines
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Airbyte
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Selenium Automation
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DuckDB
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PostgreSQL
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SQL Queries
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Data Cleaning
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Data Validation
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Data Transformation
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Data Acquisition
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Web Scraping
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Data Analysis
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Parquet Files
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Business Intelligence
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Market Research
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Data Quality Management
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Problem Solving
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Communication Skills
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Team Collaboration
๐ฏ Key Responsibilities
๐น Develop and maintain scalable data pipelines using Python.
๐น Perform web data collection and data extraction from multiple sources.
๐น Clean, transform, and validate structured and unstructured datasets.
๐น Process large datasets using Pandas.
๐น Work with Parquet file formats efficiently.
๐น Query and manage databases using DuckDB and PostgreSQL.
๐น Build ETL and ELT pipelines using Airbyte.
๐น Automate repetitive workflows using Selenium.
๐น Create and maintain business contact databases.
๐น Prepare Market Intelligence Reports.
๐น Ensure high levels of data quality and integrity.
๐น Collaborate with Product, Sales, and BI teams.
๐น Document workflows and continuously improve engineering processes.
๐ Why This Role is Good for Freshers
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Work on real production-level projects from Day One.
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Learn modern Data Engineering tools used by top product companies.
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Build strong Python programming skills.
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Gain hands-on ETL pipeline experience.
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Exposure to Business Intelligence and Market Research.
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Opportunity to work with SQL and modern databases.
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Learn automation using Selenium.
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Collaborate with experienced engineers and mentors.
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Excellent career path toward Data Engineer, Data Analyst, Data Scientist, or Analytics Engineer roles.
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Strong learning environment with practical implementation instead of only theoretical knowledge.
๐ฐ Salary Range
Although the official compensation has not been disclosed, the company has mentioned “Best in the Industry.”
Additional benefits may include:
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Learning opportunities
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Career growth
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Skill development
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Real-world project exposure
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Performance-based increments
๐ Expected Interview Rounds
Candidates can expect the following hiring process:
1๏ธโฃ Resume Shortlisting
2๏ธโฃ HR Screening
3๏ธโฃ Python Technical Assessment
4๏ธโฃ SQL & Database Assessment
5๏ธโฃ Data Engineering Discussion
6๏ธโฃ Problem Solving Round
7๏ธโฃ Face-to-Face Technical Interview
8๏ธโฃ HR Discussion
9๏ธโฃ Offer Rollout
๐ Preparation Tips
โ Revise Python basics thoroughly.
โ Practice Pandas DataFrame operations.
โ Learn SQL joins, aggregations, and subqueries.
โ Understand ETL concepts.
โ Explore Airbyte basics.
โ Practice Selenium fundamentals.
โ Learn DuckDB basics.
โ Understand PostgreSQL architecture.
โ Solve Python coding problems.
โ Practice data cleaning exercises.
โ Learn file handling and Parquet format.
โ Understand Market Intelligence concepts.
โ Revise Data Structures basics.
โ Improve communication skills.
โ Be prepared to explain academic projects.
๐ Resume Tips
โ Keep your resume limited to one page.
โ Highlight Python projects.
โ Mention SQL proficiency.
โ Add GitHub profile.
โ Showcase ETL or Data Analysis projects.
โ Include internships if available.
โ Mention certifications in Python, SQL, Data Analytics, or Data Engineering.
โ Quantify project achievements wherever possible.
โ Keep formatting clean and ATS-friendly.
โ Proofread before sending.
โ Frequently Asked Questions
Q1. Are freshers eligible?
โ Yes, only freshers are eligible.
Q2. Is this a Work From Home role?
โ No. It is a Work From Office opportunity.
Q3. What is the interview mode?
โ Face-to-Face Interview.
Q4. Is Python mandatory?
โ Yes. Python is one of the primary skills.
Q5. Is SQL important?
โ Absolutely. SQL and PostgreSQL are core requirements.
Q6. Is Selenium required?
โ Yes, for automating repetitive data collection tasks.
Q7. Are certifications mandatory?
โ No, but they are highly beneficial.
Q8. Is this a night shift?
โ The shift timing is 5 PM โ 2 AM.
Q9. What databases should I know?
โ PostgreSQL and DuckDB.
Q10. Can candidates from non-CS branches apply?
โ If they possess the required skills and relevant knowledge, they may be considered.
๐ Why Join Kipplo?
๐ Exposure to modern Data Engineering technologies.
๐ Excellent learning opportunities.
๐ค Collaborative work culture.
๐ป Work on real business problems.
๐ Continuous skill enhancement.
๐ Fast career growth.
๐ Hands-on ETL implementation.
๐ Business Intelligence exposure.
โ Automation engineering experience.
๐ก Opportunity to build enterprise-grade solutions.
๐ฉ How to Apply
๐ง Email Your Resume: megha.s@kipplo.com
๐ Suggested Email Subject:
Application for Data Engineer (Fresher) โ Bangalore
โ ๏ธ Note:
This opportunity is open only for Freshers. The interview will be conducted Face-to-Face at the Bangalore office. Candidates should be comfortable working 5 Days Work From Office and the 5 PM โ 2 AM shift.
๐ Share this opportunity with your friends, classmates, and aspiring Data Engineers looking to launch their careers in one of the fastest-growing domains in technology.
