Big Data Technologies: Proficiency in using GCP's big data tools like:
BigQuery: For data warehousing and SQL analytics.
Dataproc: For running Spark and Hadoop clusters.
Airflow: For pipeline Orchestration
Dataflow: For stream and batch data processing.(High level Idea)
Pub/Sub: For real-time messaging and event ingestion.(High level Idea)
Data Modeling: Experience/Knowledge on designing scalable, efficient data models for OLAP and OLTP use cases.
ETL/ELT Pipelines
Expertise in building automated, scalable, and reliable pipelines using custom Python/Scala solutions or Cloud Data Fusion.
- Programming and Scripting
Strong coding skills in Python, SQL, and optionally Java/Scala.
Familiarity with APIs and SDKs for GCP services to build custom data solutions.
- Cloud Infrastructure
Understanding of GCP services such as Cloud Storage, Compute Engine, and Cloud Functions.
Familiarity with Kubernetes (GKE) and containerisation for deploying data pipelines. (Optional but Good to have)
- DevOps and CI/CD
Experience setting up CI/CD pipelines using Cloud Build, GitHub Actions, or other tools.
Monitoring and logging tools like Cloud Monitoring and Cloud Logging for production workflows.
Soft Skills:-
- Innovation and Problem-Solving
Ability to think creatively and design innovative solutions for complex data challenges.
Experience in prototyping and experimenting with cutting-edge GCP tools or third-party integrations.
Strong analytical mindset to transform raw data into actionable insights.
- Collaboration
Teamwork: Ability to collaborate effectively with data analysts, and business stakeholders.
Communication: Strong verbal and written communication skills to explain technical concepts to non-technical audiences.
- Adaptability and Continuous Learning
Open to exploring recent GCP features and rapidly adapting to changes in cloud technology
Responsibilities
Soft Skills:-
- Innovation and Problem-Solving
Ability to think creatively and design innovative solutions for complex data challenges.
Experience in prototyping and experimenting with cutting-edge GCP tools or third-party integrations.
Strong analytical mindset to transform raw data into actionable insights.
- Collaboration
Teamwork: Ability to collaborate effectively with data analysts, and business stakeholders.
Communication: Strong verbal and written communication skills to explain technical concepts to non-technical audiences.
- Adaptability and Continuous Learning
Open to exploring new GCP features and rapidly adapting to changes in cloud technology
Qualifications
Graduate in Computer Science, Data Science, Information Technology, or a related field. 4-6 years of experience in big data engineering or data management.
📌 Assistant Manager (Gurugram)
🏢 EXL
📍 Gurugram
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