Senior Data Engineer

2 weeks ago

Greater Noida, India QUARKS TECHNOSOFT PRIVATE LIMITED Full time

Job Description :We are looking for a Senior Data Engineer with 6+ years of hands-on experience in designing and building scalable, cloud-native data solutions. This role is ideal for someone who is passionate about data architecture, enjoys solving complex data problems, and thrives in fast-paced, collaborative environments. The ideal candidate should have strong experience with Google Cloud Platform (GCP) services and modern data engineering practices.As a Senior Data Engineer, you will be responsible for developing and maintaining data pipelines that support analytics, machine learning, and business intelligence use cases. Youll collaborate closely with cross-functional teams including business analysts, product owners, BI developers, and data scientists to build reliable and scalable data products.Key Responsibilities :- Work with tools such as BigQuery, Dataflow, Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and more.- Implement medallion architecture, star schema, and other modern data modeling techniques to optimize data flow and querying.- Ensure data quality, integrity, scalability, and security across all pipelines and data platforms.- Collaborate with analytics and data science teams to deliver actionable and timely data products.- Follow best practices in CI/CD, test automation, and pipeline monitoring to ensure smooth and reliable deployments.- Ingest data via APIs and other streaming/batch sources, ensuring efficient integration with enterprise systems.- Stay up-to-date with the latest trends in data engineering, cloud infrastructure, and DevOps practices.Required Skills & Qualifications :- 6+ years of experience in data engineering, with a focus on large-scale and cloud-native data systems.- Strong expertise in Google Cloud Platform, especially : BigQuery, Composer (Airflow), Dataflow, Pub/Sub, Cloud Storage, Vertex AI (nice to have)- Proficient in SQL and Python, with experience in building ETL/ELT processes.- Deep understanding of data warehousing concepts, data modeling, and orchestration frameworks.- Experience with CI/CD pipelines, automated testing, and monitoring for data pipelines.- Familiarity with machine learning engineering concepts is a plus.- Strong problem-solving skills and ability to communicate technical ideas clearly. (ref:hirist.tech)

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