Mandatory skills: GCP , Bigquery and SQL is must

Section II - Job Evaluation Topics and Weight (Questions and evaluation are based on below)

Topic of Evaluation / Skills* Mandatory / Non-mandatory Percentage* (Skills / Topics should sum up to 100%) (Enter only multiples of 5)

Mandatory < 10%>

Mandatory < 40%>

Mandatory < 30%>

Mandatory < 15%>

Non-Mandatory < 5%>

Section III - Job Requirements and Responsibilities

Section Details / Example Content

Job

Requirements* < Highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure that drives business intelligence, advanced analytics, and machine learning initiatives. You must be comfortable working autonomously, navigating complex challenges, and driving projects to successful completion in a dynamic cloud environment.>

Key

Responsibilities* < - Design and Optimization: Design, implement, and optimize clean, well-structured, and performant analytical datasetsto support high-volume reporting, business analysis, and data science model development. -Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics -Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaminganalytics. -Collaboration:



Work closely with product managers and business teams to understand data requirements and translate them into technical solutions >

Section IV - Job Qualifications & Skills

Section Details / Example Content

Domain - Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a solid preference for Google Cloud Platform (GCP) services, specifically: BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment. Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub -Programming & Querying: Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.

-Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar). -DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.

Soft Skills - Excellent communication - Team collaboration - Documentation and knowledge sharing

Education

Requirements Bachelor's/Master's in Computer Science or equivalent (can be marked optional or flexible)

Certifications GCP Data Engineer

📌 GCP Data Engineer (Bengaluru)
🏢 TalentOla
📍 Bengaluru