GCP Data Engineer at Wissen Technology · Bengaluru (Bangalore) · 5 - 8 years · Profitable · Posted 1 Jul 2026
PythonLocation: 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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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Similar jobs (10)
Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
PythonJob Description – Senior GCP Data Engineer
Position: Senior GCP Data Engineer
Experience: 8+ Years
Budget: Up to 30 LPA
Location: Bangalore / Hyderabad
Relocation: Candidates from Chennai / Pune willing to relocate are also welcome.
Notice Period: Immediate to 15 Days
Interview Process:
- Round 1: Virtual Interview
- Round 2 / DM Round: Face-to-Face Interview
Required Skills
- Strong hands-on experience in GCP Data Engineering.
- Good programming experience in Python.
- Strong experience with PySpark / Apache Spark.
- Proficiency in SQL and database concepts.
- Experience in developing and maintaining data pipelines.
- Good understanding of data processing, transformation, and integration.
- Experience in handling large-scale data processing.
- Strong problem-solving and debugging skills.
- Good understanding of cloud-based data engineering concepts.
- Experience in optimizing data pipelines for performance and scalability.
Preferred Skills
- Previous experience in a Lead Data Engineer role.
- Experience in technical leadership, mentoring, and guiding team members.
- Ability to collaborate with cross-functional teams and deliver data engineering solutions.
Roles & Responsibilities
- Design, develop, and maintain scalable data pipelines using GCP.
- Develop data processing and transformation workflows using Python and PySpark.
- Write and optimize SQL queries for efficient data processing.
- Build and maintain reliable data engineering solutions.
- Troubleshoot data pipeline issues and optimize performance.
- Ensure data quality, reliability, and scalability.
- Collaborate with stakeholders and team members to deliver project requirements.
- Lead and guide team members where applicable.
- Important: Candidates must have strong Senior Data Engineer experience. Lead experience is preferred but not mandatory.
PythonGCP Data engineer (L1 virtual, L2 or DM F2F )
GCP + Python + Pyspark + sql + Lead
8+yrs
Bangalore/hyderabad location ( relocation profiles also from Chennai pune location)
immediate to 15days
Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
Job Summary
We are seeking a highly skilled GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), Python, ETL, and modern data engineering technologies. The ideal candidate should have hands-on experience designing and building scalable data pipelines using BigQuery, Dataflow, Pub/Sub, Airflow, and modern data lake technologies such as Apache Iceberg or Delta Lake.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
- Build and optimize data processing workflows using Python and Google Cloud Dataflow (Apache Beam).
- Develop and manage large-scale analytical data models in BigQuery.
- Implement event-driven data ingestion using Google Cloud Pub/Sub.
- Create, schedule, and monitor workflows using Apache Airflow and Autosys.
- Design and implement modern data lake architectures using Apache Iceberg or Delta Lake.
- Optimize query performance, storage, and compute costs in GCP.
- Ensure data quality, governance, security, and compliance across data platforms.
- Collaborate with Data Scientists, Analysts, and Application teams to deliver scalable data solutions.
- Troubleshoot production issues and continuously improve pipeline reliability and performance.
Mandatory Skills
- Strong hands-on experience with Google Cloud Platform (GCP).
- Proficiency in Python programming.
- Experience in designing and implementing ETL/ELT pipelines.
- Strong knowledge of BigQuery.
- Experience with Google Cloud Dataflow (Apache Beam).
- Experience with Google Cloud Pub/Sub.
- Hands-on experience with Apache Airflow.
- Experience in job scheduling using Autosys.
- Experience with modern table formats such as Apache Iceberg or Delta Lake.
- Strong SQL and data modeling skills.
Preferred Skills
- Experience with Cloud Storage, Dataproc, Cloud Composer, and Cloud Functions.
- Knowledge of CI/CD pipelines and DevOps practices.
- Experience with Docker and Kubernetes.
- Familiarity with Git and Agile/Scrum methodologies.
- Knowledge of data warehousing and dimensional modeling.
- Exposure to streaming and real-time data processing.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
- 4–8+ years of experience in Data Engineering with hands-on expertise in GCP technologies.
Required Experience
- Strong experience in developing enterprise-grade data pipelines using Python and GCP.
- Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Airflow.
- Experience scheduling and monitoring batch workflows using Autosys.
- Experience implementing modern data lake architectures using Apache Iceberg or Delta Lake.
- Strong understanding of ETL best practices, performance tuning, and data optimization.
- Excellent analytical, troubleshooting, and problem-solving skills.
Mandatory Skills
- Google Cloud Platform (GCP)
- Python
- ETL
- BigQuery
- Autosys
- Apache Airflow
- Google Cloud Pub/Sub
- Google Cloud Dataflow (Apache Beam)
- Apache Iceberg / Delta Lake
- SQL & Data Modeling
Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
PythonGCP Data Engineer
Job Description
Experience: 4-10 Years Location: Bangalore, India Employment:
Role Overview
We are seeking a GCP Data Engineer to design, build and maintain data systems on Google Cloud Platform. The role focuses on building pipelines with BigQuery, Dataflow and Pub/Sub, managing cloud storage, and enabling real-time data processing for fast, reliable analytics.
Key Responsibilities
• Design, develop and maintain scalable batch and real-time data pipelines on GCP.
• Build ETL/ELT pipelines with rollback strategies, bad-record handling and performance optimization.
• Design end-to-end data integration flows across systems.
• Design scalable fact/dimension schemas in cloud data warehouses.
• Handle structured, semi-structured and unstructured data at scale.
• Implement data quality checks, security and compliance policies; protect sensitive information.
• Optimize data systems by identifying bottlenecks, tuning queries and adopting new technologies.
• Collaborate with data scientists, analysts and business stakeholders to deliver tailored data solutions.
Technical Skills
• GCP Services: Cloud Run functions, Cloud Scheduler, Workflows, Pub/Sub, GCS, Dataflow, BigQuery, Cloud Build.
• Programming: Strong SQL / PL-SQL, Python and object-oriented languages (Java, Python); API development.
• CI/CD: Deployment using GitHub Actions and Jenkins.
• Data Modelling: Top-down and bottom-up database design, data masking, normalization, denormalization, dimensional modeling.
• Big Data & Streaming: Streaming architectures, NoSQL stores and key-value databases under high concurrency and volume.
Qualifications
• Bachelor's degree in Computer Science, IT, Engineering or a related field.
• 4-10 years of data engineering experience with hands-on GCP delivery.
• Strong problem-solving, communication and stakeholder management skills.
• GCP Professional Data Engineer certification preferred.
Sourcing Preference
• Priority 1: Internal profiles (TCSers).
• Priority 2: If no suitable internal profile is identified, external candidates available for immediate joining.
Desirable Skills:
Keyword:
Skills: Digital : Python~Digital : NOSQL~Digital : Google Cloud
Experience Required: 6-8
Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
Python🚀 Hiring: Senior GCP Data Engineer
We are looking for experienced Senior Data Engineers with strong hands-on expertise in Google Cloud Platform (GCP), Python, PySpark, and SQL. Candidates with team lead experience will be preferred.
📌 Job Details:
- Role: Senior GCP Data Engineer
- Experience: 8+ Years
- Budget: Up to ₹30 LPA
- Location: Bangalore / Hyderabad
- Relocation: Candidates from Chennai and Pune willing to relocate are welcome.
- Notice Period: Immediate to 15 days
- Interview Process: L1 – Virtual | L2 / DM – Face-to-Face (F2F)
💻 Required Technical Skills:
- Strong hands-on experience with GCP data engineering.
- Excellent proficiency in Python, PySpark, and SQL.
- Experience in designing, developing, and optimizing data pipelines.
- Good understanding of ETL/ELT processes and large-scale data processing.
- Experience working with cloud-based data platforms and data warehousing.
- Strong analytical, problem-solving, and communication skills.
⭐ Preferred Skills:
- Previous experience as a Technical Lead or leading a data engineering team.
- Knowledge of GCP services such as BigQuery, Dataproc, Dataflow, and Cloud Storage.
Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
PythonJob Summary
Role Overview
We are looking for an experienced Data Engineer with strong expertise in Python, ETL, Advanced SQL, CI/CD, DevOps, and Data Analytics. The ideal candidate should have hands-on experience designing and developing scalable data pipelines, transforming large datasets, and supporting data-driven applications.
Experience with Google Cloud Platform (GCP) will be an added advantage.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL.
- Develop complex and optimized SQL queries, stored procedures, and data transformations.
- Build and maintain reliable data integration workflows across multiple data sources.
- Perform data cleansing, validation, transformation, and quality checks.
- Analyze data and provide insights to support business and technical requirements.
- Implement and maintain CI/CD pipelines for data engineering applications.
- Work with DevOps practices and tools to automate deployments, monitoring, and infrastructure processes.
- Troubleshoot data pipeline failures, performance issues, and production incidents.
- Optimize data processing workflows for performance, scalability, and reliability.
- Collaborate with Data Analysts, Data Scientists, Developers, and other stakeholders.
- Follow best practices for version control, testing, documentation, and deployment.
- Contribute to cloud-based data engineering initiatives, preferably on GCP.
Required Skills
- 5–7 years of hands-on experience in Data Engineering.
- Strong programming skills in Python.
- Strong expertise in Advanced SQL and database concepts.
- Hands-on experience with ETL/ELT processes and data pipelines.
- Good understanding of Data Warehousing and Data Modeling concepts.
- Experience with CI/CD practices and tools.
- Strong understanding of DevOps principles, automation, and deployment processes.
- Strong data analytics and problem-solving skills.
- Experience working with large datasets and performance optimization.
- Good understanding of Git/version control and software development best practices.
Good to Have
- Hands-on experience with Google Cloud Platform (GCP).
- Exposure to GCP data services such as BigQuery, Cloud Storage, Dataflow, Composer, or Pub/Sub.
- Experience with containerization/orchestration technologies such as Docker/Kubernetes.
- Experience with workflow orchestration tools such as Airflow.
- Knowledge of cloud-based data architecture and distributed data processing.
Preferred Candidate Profile
- Strong analytical and problem-solving abilities.
- Good communication and stakeholder management skills.
- Ability to work independently as well as in a collaborative team environment.
- Strong ownership of data pipelines and production systems.
- Candidates who can join at short notice are preferred.
Mandatory Skills
Data Engineer, Python , ETL, GCP, Advanced SQL, Strong Data Analytics skills, CICD, Devops
Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
PythonExperience: 5+ Years
Employment Type: Full-Time
Role Overview
We are looking for an experienced GCP Data Engineer with 5+ years of experience in data engineering and strong hands-on expertise in Google BigQuery, Google Cloud Storage (GCS), Airflow/Cloud Composer, Python, and Vertex AI. The candidate should be capable of designing, developing, and maintaining scalable data pipelines and cloud-based data solutions on Google Cloud Platform.
Key Skills – Mandatory
- BigQuery – Strong hands-on experience in data warehousing, SQL, optimization, and performance tuning.
- Google Cloud Storage (GCS) – Experience with data storage, file management, and integration with data pipelines.
- Airflow / Cloud Composer – Experience in developing, scheduling, monitoring, and managing data workflows.
- Python – Strong programming skills for data engineering, ETL/ELT development, automation, and pipeline implementation.
- Vertex AI – Experience working with ML/AI workflows, model integration, or data pipelines supporting AI/ML solutions.
Good to Have / Added Advantage
- Dataproc – Experience with distributed data processing and Spark-based workloads.
- Cloud Data Fusion – Experience in building and managing data integration pipelines.
- Cloud Run – Understanding of deploying and running containerized applications/services on GCP.
- Experience with ETL/ELT processes and data pipeline development.
- Knowledge of GCP data architecture and cloud-native services.
- Experience in data quality, validation, monitoring, and troubleshooting.
Responsibilities
- Design, develop, and maintain scalable GCP-based data pipelines.
- Build and optimize data solutions using BigQuery and Cloud Storage.
- Develop and manage workflows using Airflow / Cloud Composer.
- Write efficient and reusable Python code for data processing and automation.
- Support Vertex AI integrations and AI/ML data workflows.
- Monitor pipeline performance and troubleshoot data processing issues.
- Work with cross-functional teams to understand data requirements and deliver reliable solutions.
- Implement best practices for data security, quality, scalability, and performance.
You must have :
- 5+ years of overall experience in Data Engineering.
- Strong hands-on experience with BigQuery, GCS, Airflow/Cloud Composer, Python, and Vertex AI.
- Strong understanding of data engineering concepts, ETL/ELT, data pipelines, and cloud technologies.
- Dataproc, Data Fusion, and Cloud Run experience will be an added advantage.
PythonExperience: 6+ years overall Data Engineering experience.
Must-have — candidates should have hands-on experience in ALL of these:
- GCP (Google Cloud Platform) – strong hands-on experience
- Python – data engineering/ETL development
- SQL – advanced SQL, query optimization, data transformation
- BigQuery – strong hands-on experience with development, optimization and data warehousing
- Data Engineering / ETL – building and maintaining data pipelines
- GCP data services – preferably Cloud Storage, Dataflow, Pub/Sub, Composer/Airflow, etc.
- Data warehousing / dimensional modeling
Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
PythonGCP Data Engineer
Job Description
Experience: 4-10 Years Location: Bangalore, India Employment:
Role Overview
We are seeking a GCP Data Engineer to design, build and maintain data systems on Google Cloud Platform. The role focuses on building pipelines with BigQuery, Dataflow and Pub/Sub, managing cloud storage, and enabling real-time data processing for fast, reliable analytics.
Key Responsibilities
• Design, develop and maintain scalable batch and real-time data pipelines on GCP.
• Build ETL/ELT pipelines with rollback strategies, bad-record handling and performance optimization.
• Design end-to-end data integration flows across systems.
• Design scalable fact/dimension schemas in cloud data warehouses.
• Handle structured, semi-structured and unstructured data at scale.
• Implement data quality checks, security and compliance policies; protect sensitive information.
• Optimize data systems by identifying bottlenecks, tuning queries and adopting new technologies.
• Collaborate with data scientists, analysts and business stakeholders to deliver tailored data solutions.
Technical Skills
• GCP Services: Cloud Run functions, Cloud Scheduler, Workflows, Pub/Sub, GCS, Dataflow, BigQuery, Cloud Build.
• Programming: Strong SQL / PL-SQL, Python and object-oriented languages (Java, Python); API development.
• CI/CD: Deployment using GitHub Actions and Jenkins.
• Data Modelling: Top-down and bottom-up database design, data masking, normalization, denormalization, dimensional modeling.
• Big Data & Streaming: Streaming architectures, NoSQL stores and key-value databases under high concurrency and volume.
Qualifications
• Bachelor's degree in Computer Science, IT, Engineering or a related field.
• 4-10 years of data engineering experience with hands-on GCP delivery.
• Strong problem-solving, communication and stakeholder management skills.
• GCP Professional Data Engineer certification preferred.
Sourcing Preference
• Priority 1: Internal profiles (TCSers).
• Priority 2: If no suitable internal profile is identified, external candidates available for immediate joining.
Desirable Skills:
Keyword:
Skills: Digital : Python~Digital : NOSQL~Digital : Google Cloud
Experience Required: 6-8
PythonGCP Data engineer
Exp 9+yrs
Bangalore/Hyderabad
Lead exp+ Python + pyspark + sql or plsql
immediate to 15days joiners
Call or WhatsApp: 6 3 8 5 0 7 6 1 4 2
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon