Posted on: 12/05/2026



Job Title : Module Lead - Big Data
About the Role :
We are looking for a skilled Module Lead - Big Data with strong experience in Big Data and Data Engineering. The candidate should have hands-on expertise in building scalable data pipelines, ETL/ELT processes, cloud-based data platforms, and modern data engineering technologies.
Key Responsibilities :
- Use the latest technologies to build data pipelines and integrate machine learning models.
- Build and expand the enterprise data platform.
- Develop applications that run on Google Cloud-based infrastructure.
- Design and develop data pipelines and ETL/ELT processes.
- Work with advanced SQL and data warehousing concepts including BigQuery.
- Develop solutions using :
i. Python
ii. PySpark
iii. SQL
- Work with relational and NoSQL databases including :
i. PostgreSQL
ii. MongoDB
- Use workflow management tools such as :
i. Airflow
ii. AWS Data Pipeline
iii. Google Cloud Composer
- Build Docker images and deploy them to production environments.
- Integrate Docker container orchestration frameworks using Kubernetes.
- Create :
i. Pods
ii. ConfigMaps
iii. Deployments
using Terraform.
- Work with Azure DevOps or similar CI/CD tools and Git.
Required Skills & Experience :
- 6+ years of experience in :
i. Big Data
ii. Data Engineering
- Strong knowledge of :
i. Advanced SQL
ii. Data Warehousing concepts
iii. BigQuery
- Strong programming skills in :
i. SQL
ii. Python
iii. PySpark
- Experience with :
i. Data pipeline development
ii. ETL/ELT processes
- Experience working with one of the public cloud providers :
i. GCP
ii. Azure
iii. AWS
- Experience with relational SQL and NoSQL databases.
- Experience with workflow management and orchestration tools.
- Hands-on experience with :
i. Docker
ii. Kubernetes
iii. Terraform
- Familiarity with :
i. Azure DevOps
ii. CI/CD tools
iii. Git
- Strong problem-solving and communication skills.
Nice to Have :
- Experience with :
i. C#
ii. .NET Core
iii. Microservices
Education :
- Bachelor's degree or advanced degree in Computer Science or related engineering discipline.
Key Skills :
- Python
- PySpark
- Data Engineering
- ETL
- SQL
- BigQuery
- Kubernetes
- Docker
- Terraform
- GCP
- Airflow
- MongoDB
- PostgreSQL
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Posted by
Posted in
Data Engineering
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1635285