Lead GCP Data Engineer at Techmango Technology Services Private Limited · Madurai · 11 - 16 years · ₹27L - ₹35L / yr · Profitable · Posted 3 Sep 2025
Job Title: GCP Data Architect
Location: Madurai
Experience: 12+ Years
Notice Period: Immediate
About TechMango
TechMango is a rapidly growing IT Services and SaaS Product company that helps global businesses with digital transformation, modern data platforms, product engineering, and cloud-first initiatives. We are seeking a GCP Data Architect to lead data modernization efforts for our prestigious client, Livingston, in a highly strategic project.
Role Summary
As a GCP Data Architect, you will be responsible for designing and implementing scalable, high-performance data solutions on Google Cloud Platform. You will work closely with stakeholders to define data architecture, implement data pipelines, modernize legacy data systems, and guide data strategy aligned with enterprise goals.
Key Responsibilities:
- Lead end-to-end design and implementation of scalable data architecture on Google Cloud Platform (GCP)
- Define data strategy, standards, and best practices for cloud data engineering and analytics
- Develop data ingestion pipelines using Dataflow, Pub/Sub, Apache Beam, Cloud Composer (Airflow), and BigQuery
- Migrate on-prem or legacy systems to GCP (e.g., from Hadoop, Teradata, or Oracle to BigQuery)
- Architect data lakes, warehouses, and real-time data platforms
- Ensure data governance, security, lineage, and compliance (using tools like Data Catalog, IAM, DLP)
- Guide a team of data engineers and collaborate with business stakeholders, data scientists, and product managers
- Create documentation, high-level design (HLD) and low-level design (LLD), and oversee development standards
- Provide technical leadership in architectural decisions and future-proofing the data ecosystem
Required Skills & Qualifications:
- 10+ years of experience in data architecture, data engineering, or enterprise data platforms
- Minimum 3–5 years of hands-on experience in GCP Data Service
- Proficient in:BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Cloud SQL/Spanner
- Python / Java / SQL
- Data modeling (OLTP, OLAP, Star/Snowflake schema)
- Experience with real-time data processing, streaming architectures, and batch ETL pipelines
- Good understanding of IAM, networking, security models, and cost optimization on GCP
- Prior experience in leading cloud data transformation projects
- Excellent communication and stakeholder management skills
Preferred Qualifications:
- GCP Professional Data Engineer / Architect Certification
- Experience with Terraform, CI/CD, GitOps, Looker / Data Studio / Tableau for analytics
- Exposure to AI/ML use cases and MLOps on GCP
- Experience working in agile environments and client-facing roles
What We Offer:
- Opportunity to work on large-scale data modernization projects with global clients
- A fast-growing company with a strong tech and people culture
- Competitive salary, benefits, and flexibility
- Collaborative environment that values innovation and leadership
Shubham Vishwakarma
Full Stack Developer - Averlon
About Techmango Technology Services Private Limited
About
Founded in 2014, Techmango Technology Services (TTS) is a dynamic IT services and AI consulting company that has steadily expanded into a robust organization with a team of over 250 highly skilled professionals. A NASSCOM Partnered and CMMi Level 3 initiated Madurai-based IT company, with a difference. As a client centered and quality conscious IT company, we offer a wide spectrum of technology services and solutions to help our clients meet their business needs on time and within cost-effective parameters.
Techmango strives to deliver top-tier GenAI, Data Engineering solutions, App Modernization and Custom Software Development to keep you ahead of the competition, continually enhancing your IT-driven business solutions.
We leverage the latest software development platforms, tools and advanced project management techniques to deliver industry-leading solutions that set you apart from the competition. Our comprehensive service portfolio includes Application Services, Infrastructure Services, and Professional Services, all delivered through our flexible Global Delivery Model.
Company social profiles
Similar jobs (10)
PythonJob Title: GCP Data Engineer
Experience: 6–8 years
Location : Bangalore
What are they looking for?
They need a Google Cloud Platform (GCP) Data Engineer who can build and maintain data pipelines, process large volumes of data, and manage data storage using Google Cloud services.
The candidate should have hands-on experience with batch and real-time data processing, ETL workflows, and cloud data warehousing.
Mandatory / Core Skills
- Google Cloud Platform (GCP)
- Google Cloud Dataflow
- Pub/Sub
- Apache Beam
- BigQuery
- Cloud Storage / Bigtable
- Cloud Composer (Apache Airflow)
- ETL / data pipeline development
- Apache Spark / Hadoop using Dataproc
Supporting Skills
- Cloud Data Fusion
- NoSQL databases
- Data quality and governance
- Data security, access controls, and encryption
- Batch and real-time streaming
- Preparing datasets for BI, analytics, and machine learning
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
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.
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
PythonI’m a Google Cloud Data Engineer with 5+ years of experience in data engineering, ETL, and cloud data solutions. I specialize in BigQuery, Dataform, Cloud Composer (Airflow), SQL, and CI/CD automation.
I have hands-on experience building reusable Dataform frameworks, developing and orchestrating data pipelines, supporting cloud platform upgrades, implementing secure IAM access, and optimizing data transformation workflows. I’ve also worked on AI-assisted SQLX code generation to improve developer productivity and standardize development.
I’m passionate about building scalable, reliable, and efficient data solutions. I’m looking for opportunities where I can contribute my GCP expertise, solve real-world data challenges, collaborate with talented teams, and continue growing as a Data Engineer.
Core skills: Google Cloud Platform (GCP) | BigQuery | Dataform | Cloud Composer | Apache Airflow | SQL | Python | ETL | CI/CD | GitHub Actions | Dataplex
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
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
Python
LeadershipGCP Data Engineering Lead
Experience: 9+ Years
Lead Experience: 2+ Years
Location: Bangalore / Hyderabad
Key Skills:
- Strong experience in GCP Data Engineering and BigQuery
- Hands-on experience with Oracle Exadata / PL-SQL
- Strong knowledge of PySpark / Scala and Python
- Experience with GoldenGate, Kafka and CDC
- Hands-on experience with Apache Airflow
- Good experience in CI/CD and DevOps practices
- Experience with Terraform / Infrastructure as Code
- Exposure to AI/LLM technologies and GenAI solutions
- Strong understanding of data architecture, ETL/ELT and data pipelines
Roles & Responsibilities:
- Lead the design and development of scalable GCP data engineering solutions.
- Design and implement batch and real-time data pipelines using BigQuery, PySpark, Kafka/CDC and Airflow.
- Work with Oracle Exadata/PL-SQL and GoldenGate for data integration and migration.
- Implement CI/CD pipelines and infrastructure automation using Terraform.
- Explore and integrate AI/LLM capabilities into data engineering solutions.
- Lead technical discussions, code reviews, solution design and mentor team members.
- Collaborate with business and technical teams to deliver high-quality data solutions.
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
Python🚨 Hiring: GCP Data Engineer
We are looking for experienced GCP Data Engineers to join our team!
🔹 Experience: 9+ Years
🔹 Relevant Experience: 4+ Years in GCP Data Engineering
🔹 Required Skills: GCP, Oracle PL/SQL, Python, PySpark
🔹 Location: Bangalore / Hyderabad
🔹 Notice Period: Immediate to 10 Days Preferred
Key Skills:
🔹 Strong hands-on experience in GCP Data Engineering
🔹 Good experience with PySpark & Python
🔹 Strong knowledge of Oracle PL/SQL
🔹 Experience in data processing, ETL, and data pipelines
🔹 Good understanding of cloud-based data engineering
📩 Interested candidates can share their updated CV via DM.
#Hiring #GCPDataEngineer #GCP #DataEngineering #PySpark #Python #OraclePLSQL #DataEngineer #BangaloreJobs #HyderabadJobs #ImmediateJoiner #TechJobs #ITJobs #HiringNow
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon