GCP Data Engineer

Position Title : Python Django Developer

Location : Gurgaon (6 Days WFO)

Experience : 3+ Years

Job Overview :

We are looking for a skilled Python Django Developer with a strong background in developing scalable, high-performance web applications. The ideal candidate must have 3+ Years of hands-on experience in Django and related technologies, including RabbitMQ, Redis, Celery, and PostgreSQL, to ensure seamless background task management, caching, and database performance.

Key Responsibilities :

• Develop, maintain, and enhance Django-based web applications and APIs.
• Design and implement message broker solutions using RabbitMQ for asynchronous communication.
• Integrate Redis for caching and session management to optimize application performance.
• Implement and manage task queues using Celery for efficient background processing.
• Work with PostgreSQL, ensuring proper database design, query optimization, and performance tuning.
• Collaborate with front-end developers, DevOps engineers, and stakeholders to deliver high-quality software solutions.
• Write clean, modular, and well-documented code following best practices.
• Debug, troubleshoot, and resolve issues across the application stack.
• Participate in code reviews, system design discussions, and team meetings.
• Ensure scalability, reliability, and security of applications.

Required Technical Skills :

• Minimum 3+ Years of relevant experience in Python and Django framework.
• Proficiency in RabbitMQ for message brokering.
• Hands-on experience with Redis for caching and session management.
• Strong knowledge of Celery for distributed task queues.
• Experience with PostgreSQL, including database design, indexing, and optimization.
• Expertise in RESTful API design and development.
• Understanding of Docker and containerized applications.

Preferred Skills :

• Experience with CI/CD pipelines for automated deployments.
• Familiarity with cloud platforms like AWS or GCP.
• Knowledge of Django ORM and its performance optimizations.
• Basic understanding of front-end technologies (HTML, CSS, JavaScript).

Soft Skills

• Strong problem-solving and analytical abilities.
• Excellent communication and collaboration skills.
• Ability to adapt to an agile development environment and evolving requirements.

Educational Qualifications :

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

🚀 Hiring: Data Engineer | GCP + Spark + Python + .NET |

| 6–10 Yrs | Gurugram (Hybrid)

We’re looking for a skilled Data Engineer with strong hands-on experience in GCP, Spark-Scala, Python, and .NET.

📍 Location: Suncity, Sector 54, Gurugram (Hybrid – 3 days onsite)

💼 Experience: 6–10 Years

⏱️ Notice Period :- Immediate Joiner

Required Skills:

• 5+ years of experience in distributed computing (Spark) and software development.
• 3+ years of experience in Spark-Scala
• 5+ years of experience in Data Engineering.
• 5+ years of experience in Python.
• Fluency in working with databases (preferably Postgres).
• Have a sound understanding of object-oriented programming and development principles.
• Experience working in an Agile Scrum or Kanban development environment.
• Experience working with version control software (preferably Git).
• Experience with CI/CD pipelines.
• Experience with automated testing, including integration/delta, Load, and Performance

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

About the Role-

Thinking big and executing beyond what is expected. The challenges cut across algorithmic problem solving, systems engineering, machine learning and infrastructure at a massive scale.

Reason to Join-

An opportunity for innovators, problem solvers & learners.  Working will be Innovative, empowering, rewarding & fun. Amazing Office, competitive pay along with excellent benefits package.

Requiremets and Responsibilities- (please read carefully before applying)

• The overall experience of 3-6 years in Java/Python Framework and Machine Learning.
• Develop Web Services, REST, XSD, XML technologies, Java, Python, AWS, API.
• Experience on Elastic Search or SOLR or Lucene -Search Engine, Text Mining, Indexing.
• Experience in highly scalable tools like Kafka, Spark, Aerospike, etc.
• Hands on experience in Design, Architecture, Implementation, Performance & Scalability, and Distributed Systems.
• Design, implement, and deploy highly scalable and reliable systems.
• Troubleshoot Solr indexing process and querying engine.
• Bachelors or Masters in Computer Science from Tier 1 Institutions

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred