
Location: Bangalore (Hybrid/Onsite)
Experience: 5–8 Years
Work location -Manyata Tech park
Job Description
We are seeking a skilled GCP Data Engineer with 5–8 years of experience in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions. The ideal candidate should have strong expertise in Google Cloud Platform (GCP), Python, PySpark, SQL, and Data Engineering concepts.
Key Responsibilities
- Design, build, and optimize scalable ETL/ELT data pipelines.
- Develop and maintain data processing solutions using Python and PySpark.
- Work with large-scale structured and unstructured datasets.
- Implement data ingestion, transformation, and data quality frameworks.
- Build and manage data solutions on Google Cloud Platform (GCP).
- Develop and optimize complex SQL queries, stored procedures, and data models.
- Collaborate with business stakeholders, data analysts, and cross-functional teams to understand data requirements.
- Monitor, troubleshoot, and improve data pipeline performance and reliability.
- Ensure data governance, security, and compliance standards are followed.
- Support data warehousing and analytics initiatives.
Required Skills
- 5–8 years of experience in Data Engineering.
- Strong programming experience in Python.
- Hands-on experience with PySpark and distributed data processing.
- Strong expertise in SQL and database performance tuning.
- Experience with Google Cloud Platform (GCP) services such as:
- BigQuery
- Cloud Storage
- Dataflow
- Dataproc
- Cloud Composer
- Pub/Sub
- Experience in designing ETL/ELT workflows.
- Knowledge of data warehousing concepts and dimensional modeling.
- Experience with version control tools such as Git.
- Strong problem-solving and analytical skills.
Preferred Skills
- Experience with CI/CD pipelines and DevOps practices.
- Exposure to orchestration tools like Airflow/Cloud Composer.
- Experience working in Agile/Scrum environments.
- Knowledge of streaming data processing and real-time data pipelines.
Educational Qualification
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a 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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Website - https://www.lendenclub.com
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