

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 Description
Job Title: Data Engineer
Location: Hyderabad, India
Job Type: Full Time
Experience: 5 – 8 Years
Working Model: On-Site (No remote or work-from-home options available)
Work Schedule: Mountain Time Zone (3:00 PM to 11:00 PM IST)
Role Overview
The Data Engineer will be responsible for designing and implementing scalable backend systems, leveraging Python and PySpark to build high-performance solutions. The role requires a proactive and detail-orientated individual who can solve complex data engineering challenges while collaborating with cross-functional teams to deliver quality results.
Key Responsibilities
- Develop and maintain backend systems using Python and PySpark.
- Optimise and enhance system performance for large-scale data processing.
- Collaborate with cross-functional teams to define requirements and deliver solutions.
- Debug, troubleshoot, and resolve system issues and bottlenecks.
- Follow coding best practices to ensure code quality and maintainability.
- Utilise tools like Palantir Foundry for data management workflows (good to have).
Qualifications
- Strong proficiency in Python backend development.
- Hands-on experience with PySpark for data engineering.
- Excellent problem-solving skills and attention to detail.
- Good communication skills for effective team collaboration.
- Experience with Palantir Foundry or similar platforms is a plus.
Preferred Skills
- Experience with large-scale data processing and pipeline development.
- Familiarity with agile methodologies and development tools.
- Ability to optimise and streamline backend processes effectively.


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PHP developer
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Full-stack developers will be most preferred.
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