<p><p><b>Job Description :</b></p><p><br/></p><p>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.<br/><br/>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.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Work with tools such as BigQuery, Dataflow, Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and more.<br/><br/></p><p>- Implement medallion architecture, star schema, and other modern data modeling techniques to optimize data flow and querying.<br/><br/></p><p>- Ensure data quality, integrity, scalability, and security across all pipelines and data platforms.<br/><br/></p><p>- Collaborate with analytics and data science teams to deliver actionable and timely data products.<br/><br/></p><p>- Follow best practices in CI/CD, test automation, and pipeline monitoring to ensure smooth and reliable deployments.<br/><br/></p><p>- Ingest data via APIs and other streaming/batch sources, ensuring efficient integration with enterprise systems.<br/><br/></p><p>- Stay up-to-date with the latest trends in data engineering, cloud infrastructure, and DevOps practices.<br/><br/><b>Required Skills & Qualifications :</b><br/><br/>- 6+ years of experience in data engineering, with a focus on large-scale and cloud-native data systems.<br/><br/></p><p>- Strong expertise in Google Cloud Platform, especially : BigQuery, Composer (Airflow), Dataflow, Pub/Sub, Cloud Storage, Vertex AI (nice to have)<br/><br/></p><p>- Proficient in SQL and Python, with experience in building ETL/ELT processes.<br/><br/></p><p>- Deep understanding of data warehousing concepts, data modeling, and orchestration frameworks.<br/><br/></p><p>- Experience with CI/CD pipelines, automated testing, and monitoring for data pipelines.<br/><br/></p><p>- Familiarity with machine learning engineering concepts is a plus.<br/><br/></p><p>- Strong problem-solving skills and ability to communicate technical ideas clearly.</p><br/></p> (ref:hirist.tech)