

Job Summary:
We are looking for a motivated and detail-oriented Data Engineer with 1–2 years of experience to join our data engineering team. The ideal candidate should have solid foundational skills in SQL and Python, along with exposure to building or maintaining data pipelines. You’ll play a key role in helping to ingest, process, and transform data to support various business and analytical needs.
Key Responsibilities:
- Assist in the design, development, and maintenance of scalable and efficient data pipelines.
- Write clean, maintainable, and performance-optimized SQL queries.
- Develop data transformation scripts and automation using Python.
- Support data ingestion processes from various internal and external sources.
- Monitor data pipeline performance and help troubleshoot issues.
- Collaborate with data analysts, data scientists, and other engineers to ensure data quality and consistency.
- Work with cloud-based data solutions and tools (e.g., AWS, Azure, GCP – as applicable).
- Document technical processes and pipeline architecture.
Core Skills Required:
- Proficiency in SQL (data querying, joins, aggregations, performance tuning).
- Experience with Python, especially in the context of data manipulation (e.g., pandas, NumPy).
- Exposure to ETL/ELT pipelines and data workflow orchestration tools (e.g., Airflow, Prefect, Luigi – preferred).
- Understanding of relational databases and data warehouse concepts.
- Familiarity with version control systems like Git.
Preferred Qualifications:
- Experience with cloud data services (AWS S3, Redshift, Azure Data Lake, etc.)
- Familiarity with data modeling and data integration concepts.
- Basic knowledge of CI/CD practices for data pipelines.
- Bachelor’s degree in Computer Science, Engineering, or related field.

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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Job Title: Data Science Intern
Location: 6th Sector HSR Layout, Bangalore - Work from Office 5.5 Days
Duration: 3 Months | Stipend: Upto ₹12,000 per month
Post-Internship Offer (PPO): Available based on performance
🧑💻 About the Role
We are looking for a passionate and proactive Data Science Assistant Intern who is equally excited about mentoring learners and gaining hands-on experience with real-world data operations.
This is a 50% technical + 50% mentorship role that blends classroom support with practical data work. Ideal for those looking to build a career in EdTech and Applied Data Science.
🚀 What You'll Do
- Technical Responsibilities (50%)Create and manage dashboards using Python or BI tools like Power BI/Tableau
- Write and optimize SQL queries to extract and analyze backend data
- Support in data gathering, cleaning, and basic analysis
- Contribute to building data pipelines to assist internal decision-making and analytics
🚀Mentorship & Support (50%)
- Assist instructors during live Data Science sessions
- Solve doubts related to Python, Machine Learning, and Statistics
- Create and review quizzes, assignments, and other content
- Provide one-on-one academic support and mentoring
- Foster a positive and interactive learning environment
✅ Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
- Strong knowledge of:
- Python (Data Structures, Functions, OOP, Debugging)
- Pandas, NumPy, Matplotlib
- Machine Learning algorithms (scikit-learn)
- SQL and basic data wrangling
- APIs, Web Scraping, and Time-Series basics
- Advanced Excel: Lookup & reference (VLOOKUP, INDEX+MATCH, XLOOKUP), Logical functions (IF, AND, OR), Statistical & Aggregate Functions: (COUNTIFS, STDEV, PERCENTILE), Text cleanup (TRIM, SUBSTITUTE), Time functions (DATEDIF, NETWORKDAYS), Pivot Tables, Power Query, Conditional Formatting, Data Validation, What-If Analysis, and dynamic dashboards using charts & slicers.
- Excellent communication and interpersonal skills
- Prior mentoring, teaching, or tutoring experience is a big plus
- Passion for helping others learn and grow


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- Develop and maintain scalable Python applications for AI/ML projects.
- Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
- Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
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- Work with large datasets to perform data cleaning, feature engineering, and data transformation.
- Stay current with new developments in machine learning frameworks and Python libraries.
- Write clean, testable, and efficient code following best practices.
- Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).
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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three
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