GCP Bigquery at Leinex · Hyderabad · 6 - 15 years · Profitable · Posted 5 Jun 2026
A GCP BigQuery professional designs develops and optimizes largescale data warehouses ELT ETL pipelines and SQL scripts within Google Cloud Responsibilities include managing data ingestion PubSub Dataflow optimizing performance and cost and implementing securitygovernance Key skills include SQL Python Apache Airflow and Data modeling
Key Responsibilities
- Data Architecture Modeling Design and optimize BigQuery data models schemas and storage for performance and costefficiency
- Pipeline Development ETLELT Build scalable data pipelines and workflows using tools like Cloud Composer Airflow Dataflow and Dataproc
- Query Optimization Write complex SQL scripts and tune performance to minimize BigQuery slot usage
- Data Integration Ingest transform and manage data from diverse sources into BigQuery
- Governance Security Implement data security access controls and best practices
Required Skills Qualifications
- Core Technical Proficiency in GoogleSQL Python and Google Cloud Platform GCP services BigQuery Cloud Storage Dataflow
- Data Processing Experience with Apache Spark Beam or Hadoop
- Database Knowledge Strong understanding of relational RDBMS and NoSQL databases
Shubham Vishwakarma
Full Stack Developer - Averlon
About Leinex
About
Leinex, was formally initiated in the year 2012 with the core business focus on IT recruitments in niche technological areas. With expertise in technology hiring at mid-level and leadership positions, Leinex has successfully supported various IT products/services, telecom, consulting organizations, and start-ups. We have demonstrated our ability to deliver on both volume and niche hiring mandates, covering a wide range of technical skills.
Throughout the journey, Leinex has remained dedicated to the fundamental principles of 100% customer satisfaction, surpassing expectations in service delivery, and fostering lasting partnerships with clients. We understand the importance of staying responsive to the demands of a dynamic market and constantly review, evaluate, and update our processes accordingly. The name "Leinex" reflects our commitment to service excellence, encapsulating our approach to learn, innovate, and excel in all aspects of our operations.
Our services
• Recruitment
• Payroll
• Compensation Benchmarking
• Training Solutions
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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
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.
PythonRole Overview
We are looking for a GCP Data Engineer with 10+ years of experience to design, develop, and optimize scalable cloud-based data solutions. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, and advanced SQL, with experience building data pipelines and working with large-scale datasets.
Key Responsibilities
- Design and develop scalable data pipelines and ETL/ELT processes on GCP.
- Build, optimize, and maintain data solutions using Google BigQuery.
- Develop complex SQL queries for data transformation, aggregation, and analysis.
- Design efficient data models and optimize pipelines for performance, scalability, and cost.
- Integrate data from multiple sources and ensure data quality, reliability, and availability.
- Troubleshoot pipeline and data issues and drive continuous improvement.
- Collaborate with data architects, analysts, application teams, and business stakeholders.
- Follow best practices for cloud security, data governance, testing, and documentation.
Required Skills
- 8+ years of Data Engineering experience
- Strong hands-on experience with GCP, Django, and MongoDB
- Extensive experience with BigQuery
- Advanced SQL skills
- Strong understanding of ETL/ELT and data pipeline development
- Data modeling and data warehousing experience
- Experience handling large-scale datasets and performance optimization
- Strong problem-solving and communication skills
Good to Have
- GCP services such as Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, or Cloud Functions
- Python or other data engineering languages
- Experience with data governance and security
- Agile development experience
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
We are hiring a GCP Data Engineer to build scalable data pipelines on Google Cloud.
Responsibilities
- Build batch and streaming pipelines with Dataflow and Pub/Sub
- Model and optimise data warehouses in BigQuery
- Run large-scale processing on Dataproc
- Orchestrate workflows with Cloud Composer
Requirements
- 2+ years of data engineering on Google Cloud
- Hands-on with BigQuery and Dataflow
- Strong data modelling and SQL optimisation skills
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.
What you'll need
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
- 5+ years of professional data engineering experience.
- Experience designing and building cloud-native data solutions.
- Strong expertise with Google Cloud Platform, including BigQuery. Experience developing transformation frameworks using dbt.
- Strong SQL and Python programming skills.
- Experience with PostgreSQL or other relational databases.
- Experience orchestrating workflows using Apache Airflow or Cloud Composer.
- Experience implementing Infrastructure as Code using Terraform. Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar platforms.
- Experience developing scalable batch and streaming data pipelines. Strong problem-solving skills with the ability to balance scalability, reliability, and cloud cost optimization.
Preferred Qualifications
- Experience with Pub/Sub, Datastream, Dataflow, Cloud Storage, Cloud Functions, or Cloud Run.
- Experience building multi-tenant SaaS platforms.
- Experience implementing metadata-driven governance, lineage, and data quality frameworks.
- Experience supporting AI, machine learning, or customer-facing analytics platforms.
- Experience with Kubernetes and Docker.
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
Data Engineer
Experience - 5+ years
6-7 LPA
Remote
Duration: 1 month contract (We can take as a tentative, It can be extended)
Scope: Subscriber Activation, Churn, FTE and future reporting requirements, with BigQuery as the centralized data warehouse and Power BI as the proposed reporting layer.
Key Skills:
Strong hands-on experience with GCP & BigQuery
Data warehouse architecture, design and implementation
Data ingestion/integration across multiple source systems
ETL/ELT and data pipeline development
Data modelling for reporting and analytics
Experience integrating BigQuery with Power BI or similar reporting tools
PythonJob Summary: GCP Data Engineering Lead
Experience: 9+ Years
Location: Bangalore / Hyderabad
Notice Period: Immediate to 15 Days
Key Skills:
- Strong experience in GCP Data Engineering
- Proven Technical Lead / Lead experience
- Strong programming skills in Python
- Hands-on experience with PySpark
- Strong expertise in SQL / PL-SQL
- Good understanding of GCP data services and data engineering concepts
- Experience in designing and developing scalable data pipelines
- Strong problem-solving and technical leadership skills
Roles & Responsibilities:
- Lead the design and development of scalable GCP data engineering solutions.
- Develop and optimize data pipelines using Python, PySpark and SQL/PL-SQL.
- Design data processing solutions and ensure performance and scalability.
- Provide technical leadership, conduct code reviews, and mentor team members.
- Collaborate with business and technical teams to understand requirements and deliver data solutions.
- Troubleshoot issues and ensure quality across the data engineering lifecycle.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon