Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Data Engineer, you will be responsible for building and maintaining robust, scalable, and high-performance data pipelines and platforms on Google Cloud. You will work closely with architects, data scientists, and analysts to ensure reliable access to clean and actionable data. Roles & Responsibilities: • Design and implement batch and real-time data pipelines using GCP-native tools. • Collaborate with data architects and business stakeholders to define data ingestion, transformation, and storage strategies. • Ensure data quality, governance, and compliance across the data lifecycle. • Develop automation for data workflows and monitoring mechanisms. • Optimize data processing for cost, performance, and reliability. • Troubleshoot and resolve data-related issues in production environments. Professional & Technical Skills: • Must To Have Skills: Experience with BigQuery, Dataflow, Pub/Sub, Cloud Composer (Airflow), and Cloud Storage. • Strong programming skills in Python, SQL, and optionally Java/Scala. • Familiarity with data modeling, schema design, and data partitioning strategies. • Experience with ETL/ELT tools and CI/CD pipelines. • Understanding of security and IAM in GCP. Additional Information: • The candidate should have 4–8 years of experience in data engineering. • This position is based Pan India.

15 years full time education

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